{ "protocol": "CCP", "version": "v1.0.0", "count": 724, "total": 724, "query": null, "category": null, "capabilities": [ { "id": "mcp-moha2005269-agentgo-mcp", "name": "Moha2005269/agentgo-mcp", "name_en": "Moha2005269/agentgo-mcp", "desc": "MCP server for AgentGo, a real Chromium browser for agents: compact page outlines with stable refs, diff-only replies after each action, real pointer and keyboard input, human approval for payments, and an optional on-device model for routine steps. [AgentGo browser](https://github.com/Moha2005269/agentgo)", "desc_en": "MCP server for AgentGo, a real Chromium browser for agents: compact page outlines with stable refs, diff-only replies after each action, real pointer and keyboard input, human approval for payments, and an optional on-device model for routine steps. [AgentGo browser](https://github.com/Moha2005269/agentgo)", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Moha2005269/agentgo-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Moha2005269/agentgo-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-fullselfbrowsing-fsb", "name": "fullselfbrowsing/FSB", "name_en": "fullselfbrowsing/FSB", "desc": "Chrome extension plus MCP server that lets any MCP client drive your own signed in Chrome by reading the live DOM instead of screenshots, with no API key. 69 tools, session replay, and an encrypted credential vault.", "desc_en": "Chrome extension plus MCP server that lets any MCP client drive your own signed in Chrome by reading the live DOM instead of screenshots, with no API key. 69 tools, session replay, and an encrypted credential vault.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/fullselfbrowsing/FSB", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/fullselfbrowsing/FSB", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-pghqdev-openscreenshot-tree-main-mcp", "name": "PGHQdev/OpenScreenShot", "name_en": "PGHQdev/OpenScreenShot", "desc": "Website screenshots from a local headless Chrome, with selector, text-pattern and rectangle redaction before capture; also a CLI.", "desc_en": "Website screenshots from a local headless Chrome, with selector, text-pattern and rectangle redaction before capture; also a CLI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PGHQdev/OpenScreenShot/tree/main/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PGHQdev/OpenScreenShot/tree/main/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-morfiade-app-morfiade-mcp", "name": "morfiade-app/morfiade-mcp", "name_en": "morfiade-app/morfiade-mcp", "desc": "Manage local Chrome profiles, each with its own cookies, sessions and proxy: create, launch and stop them, assign and check proxies, tags, notes and trash with restore. Only whitelisted profiles are visible and there is no cookie-reading tool. Requires the Morfiade desktop app (Windows).", "desc_en": "Manage local Chrome profiles, each with its own cookies, sessions and proxy: create, launch and stop them, assign and check proxies, tags, notes and trash with restore. Only whitelisted profiles are visible and there is no cookie-reading tool. Requires the Morfiade desktop app (Windows).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/morfiade-app/morfiade-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/morfiade-app/morfiade-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-maemreyo-zamery-browser", "name": "maemreyo/zamery-browser", "name_en": "maemreyo/zamery-browser", "desc": "Use the Firefox you already use, including logged-in tabs, while agents can access only tabs or tab groups you explicitly share. [npm](https://www.npmjs.com/package/@zamery/browser-mcp) · [MCP Registry](https://registry.modelcontextprotocol.io/?q=io.github.maemreyo%2Fzamery-browser)", "desc_en": "Use the Firefox you already use, including logged-in tabs, while agents can access only tabs or tab groups you explicitly share. [npm](https://www.npmjs.com/package/@zamery/browser-mcp) · [MCP Registry](https://registry.modelcontextprotocol.io/?q=io.github.maemreyo%2Fzamery-browser)", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/maemreyo/zamery-browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/maemreyo/zamery-browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-igelharine-cdpm", "name": "IGELHARINE/CDPM", "name_en": "IGELHARINE/CDPM", "desc": "Numbered, logged-in Chrome slots (1-30) driven over raw CDP that several Claude Code sessions and subagents share, with per-tab command queues, agent-to-agent messages, and recovery after reboots and Chrome updates.", "desc_en": "Numbered, logged-in Chrome slots (1-30) driven over raw CDP that several Claude Code sessions and subagents share, with per-tab command queues, agent-to-agent messages, and recovery after reboots and Chrome updates.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/IGELHARINE/CDPM", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/IGELHARINE/CDPM", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-miladmet-quickcast-mcp", "name": "Miladmet/quickcast-mcp", "name_en": "Miladmet/quickcast-mcp", "desc": "Screen-to-Action Protocol: Turn screen recordings directly into automated Playwright E2E reproduction tests, structured GitHub bug reports with video timestamps, and SOP walkthroughs.", "desc_en": "Screen-to-Action Protocol: Turn screen recordings directly into automated Playwright E2E reproduction tests, structured GitHub bug reports with video timestamps, and SOP walkthroughs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Miladmet/quickcast-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Miladmet/quickcast-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 12 }, { "id": "mcp-hahahahahahahahah6-browser-buddy", "name": "hahahahahahahahah6/browser-buddy", "name_en": "hahahahahahahahah6/browser-buddy", "desc": "MCP server + Chrome extension (MV3) that lets coding agents read pages through the user's real, logged-in Chrome; stdlib-only, local.", "desc_en": "MCP server + Chrome extension (MV3) that lets coding agents read pages through the user's real, logged-in Chrome; stdlib-only, local.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hahahahahahahahah6/browser-buddy", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hahahahahahahahah6/browser-buddy", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 19 }, { "id": "mcp-protostatis-unbrowser", "name": "protostatis/unbrowser", "name_en": "protostatis/unbrowser", "desc": "Lightweight native browser that runs JavaScript, follows links, fills forms, manages cookies and returns low-token BlockMaps, without Chrome.", "desc_en": "Lightweight native browser that runs JavaScript, follows links, fills forms, manages cookies and returns low-token BlockMaps, without Chrome.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/protostatis/unbrowser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/protostatis/unbrowser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pskill9-web-search", "name": "pskill9/web-search", "name_en": "pskill9/web-search", "desc": "Web search using Google search results.", "desc_en": "Web search using Google search results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pskill9/web-search", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pskill9/web-search", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-paipaipai666-nexus-browser-mcp", "name": "paipaipai666/nexus-browser-mcp", "name_en": "paipaipai666/nexus-browser-mcp", "desc": "Accessibility-tree browser automation with deterministic snapshots, human approval gates, redacted audit logs and console, network and Web Vitals monitoring.", "desc_en": "Accessibility-tree browser automation with deterministic snapshots, human approval gates, redacted audit logs and console, network and Web Vitals monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/paipaipai666/nexus-browser-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/paipaipai666/nexus-browser-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-phungxuananh-selenium-mcp-server", "name": "PhungXuanAnh/selenium-mcp-server", "name_en": "PhungXuanAnh/selenium-mcp-server", "desc": "Web automation through Selenium WebDriver.", "desc_en": "Web automation through Selenium WebDriver.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PhungXuanAnh/selenium-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PhungXuanAnh/selenium-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pantheon-security-chrome-mcp-secure", "name": "Pantheon-Security/chrome-mcp-secure", "name_en": "Pantheon-Security/chrome-mcp-secure", "desc": "Security-hardened Chrome automation and logins with post-quantum encryption, a credential vault, memory scrubbing and audit logging.", "desc_en": "Security-hardened Chrome automation and logins with post-quantum encryption, a credential vault, memory scrubbing and audit logging.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Pantheon-Security/chrome-mcp-secure", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Pantheon-Security/chrome-mcp-secure", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ofershap-real-browser-mcp", "name": "ofershap/real-browser-mcp", "name_en": "ofershap/real-browser-mcp", "desc": "Control the user's real Chrome browser via an extension, reusing existing sessions, logins and cookies.", "desc_en": "Control the user's real Chrome browser via an extension, reusing existing sessions, logins and cookies.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ofershap/real-browser-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ofershap/real-browser-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-olostep-olostep-mcp-server", "name": "olostep/olostep-mcp-server", "name_en": "olostep/olostep-mcp-server", "desc": "Web scraping, crawling and search API: extract content as Markdown or JSON, batch-process URLs and get answers with citations.", "desc_en": "Web scraping, crawling and search API: extract content as Markdown or JSON, batch-process URLs and get answers with citations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/olostep/olostep-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/olostep/olostep-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-nnemirovsky-iwdp-mcp", "name": "nnemirovsky/iwdp-mcp", "name_en": "nnemirovsky/iwdp-mcp", "desc": "iOS Safari debugging via ios-webkit-debug-proxy with WebKit Inspector Protocol support: DOM, CSS, network, storage, debugger and more.", "desc_en": "iOS Safari debugging via ios-webkit-debug-proxy with WebKit Inspector Protocol support: DOM, CSS, network, storage, debugger and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nnemirovsky/iwdp-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nnemirovsky/iwdp-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ndthanhdev-mcp-browser-kit", "name": "ndthanhdev/mcp-browser-kit", "name_en": "ndthanhdev/mcp-browser-kit", "desc": "Interact with your local browsers.", "desc_en": "Interact with your local browsers.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ndthanhdev/mcp-browser-kit", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ndthanhdev/mcp-browser-kit", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mingye-lu-agenticcrawler", "name": "Mingye-Lu/AgenticCrawler", "name_en": "Mingye-Lu/AgenticCrawler", "desc": "Autonomous, goal-driven LLM web crawler with stealth browsing, distributed as a single binary.", "desc_en": "Autonomous, goal-driven LLM web crawler with stealth browsing, distributed as a single binary.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Mingye-Lu/AgenticCrawler", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Mingye-Lu/AgenticCrawler", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mathiaspaulenko-wavexis-mcp", "name": "MathiasPaulenko/wavexis-mcp", "name_en": "MathiasPaulenko/wavexis-mcp", "desc": "Browser automation for your existing Chrome or Firefox via CDP and BiDi, with stealth mode, Lighthouse audits, YAML action batching and raw protocol access.", "desc_en": "Browser automation for your existing Chrome or Firefox via CDP and BiDi, with stealth mode, Lighthouse audits, YAML action batching and raw protocol access.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MathiasPaulenko/wavexis-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MathiasPaulenko/wavexis-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-maccydee-cute-web-scraper", "name": "maccydee/cute-web-scraper", "name_en": "maccydee/cute-web-scraper", "desc": "Web scraping with escalating fetch tiers on detected blocks, returning clean Markdown or saving large scrapes to SQLite for read-only SQL queries.", "desc_en": "Web scraping with escalating fetch tiers on detected blocks, returning clean Markdown or saving large scrapes to SQLite for read-only SQL queries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/maccydee/cute-web-scraper", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/maccydee/cute-web-scraper", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lyrenth-lyrenth-mcp", "name": "lyrenth/lyrenth-mcp", "name_en": "lyrenth/lyrenth-mcp", "desc": "Read any URL as a clean AIDocument (Markdown plus structure) through Lyrenth's cached index.", "desc_en": "Read any URL as a clean AIDocument (Markdown plus structure) through Lyrenth's cached index.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lyrenth/lyrenth-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lyrenth/lyrenth-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lyosis-claudeforsafari", "name": "Lyosis/claudeForSafari", "name_en": "Lyosis/claudeForSafari", "desc": "Control Safari via a web extension: navigate, read pages, click elements, fill forms and manage tabs, without Playwright or WebDriver.", "desc_en": "Control Safari via a web extension: navigate, read pages, click elements, fill forms and manage tabs, without Playwright or WebDriver.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Lyosis/claudeForSafari", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Lyosis/claudeForSafari", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lvcidpsyche-auto-browser", "name": "LvcidPsyche/auto-browser", "name_en": "LvcidPsyche/auto-browser", "desc": "Browser agent with human takeover via noVNC, reusable auth profiles, approval and audit controls, and isolated Docker sessions.", "desc_en": "Browser agent with human takeover via noVNC, reusable auth profiles, approval and audit controls, and isolated Docker sessions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/LvcidPsyche/auto-browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/LvcidPsyche/auto-browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lightpanda-io-browser", "name": "lightpanda-io/browser", "name_en": "lightpanda-io/browser", "desc": "Headless browser for AI and web automation with a built-in MCP server.", "desc_en": "Headless browser for AI and web automation with a built-in MCP server.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lightpanda-io/browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lightpanda-io/browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-junipr-labs-mcp-server", "name": "junipr-labs/mcp-server", "name_en": "junipr-labs/mcp-server", "desc": "Web intelligence API: screenshots, PDF generation, page metadata and specialized extractors for news, social media, search results, prices and more.", "desc_en": "Web intelligence API: screenshots, PDF generation, page metadata and specialized extractors for news, social media, search results, prices and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/junipr-labs/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/junipr-labs/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kimtth-mcp-aoai-web-browsing", "name": "kimtth/mcp-aoai-web-browsing", "name_en": "kimtth/mcp-aoai-web-browsing", "desc": "Minimal MCP server and client implementation using Azure OpenAI and Playwright.", "desc_en": "Minimal MCP server and client implementation using Azure OpenAI and Playwright.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kimtth/mcp-aoai-web-browsing", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kimtth/mcp-aoai-web-browsing", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-samson-art-transcriptor-mcp", "name": "samson-art/transcriptor-mcp", "name_en": "samson-art/transcriptor-mcp", "desc": "Get transcripts and metadata for summarization and content analysis.", "desc_en": "Get transcripts and metadata for summarization and content analysis.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/samson-art/transcriptor-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/samson-art/transcriptor-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kimtaeyoon83-mcp-server-youtube-transcript", "name": "kimtaeyoon83/mcp-server-youtube-transcript", "name_en": "kimtaeyoon83/mcp-server-youtube-transcript", "desc": "Fetch YouTube subtitles and transcripts for AI analysis.", "desc_en": "Fetch YouTube subtitles and transcripts for AI analysis.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kimtaeyoon83/mcp-server-youtube-transcript", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kimtaeyoon83/mcp-server-youtube-transcript", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-imprvhub-mcp-browser-agent", "name": "imprvhub/mcp-browser-agent", "name_en": "imprvhub/mcp-browser-agent", "desc": "Autonomous browser automation.", "desc_en": "Autonomous browser automation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/imprvhub/mcp-browser-agent", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/imprvhub/mcp-browser-agent", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ilien-dev-svipall", "name": "ilien-dev/svipall", "name_en": "ilien-dev/svipall", "desc": "Local-first web reading escalating from HTTP to a real browser when blocked: clean Markdown, site crawls, search, row extraction and local CAPTCHA handling.", "desc_en": "Local-first web reading escalating from HTTP to a real browser when blocked: clean Markdown, site crawls, search, row extraction and local CAPTCHA handling.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ilien-dev/svipall", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ilien-dev/svipall", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-markmircea-selenix-mcp-server", "name": "markmircea/Selenix-MCP-Server", "name_en": "markmircea/Selenix-MCP-Server", "desc": "Create, run, debug and manage Selenix browser automation tests through natural language.", "desc_en": "Create, run, debug and manage Selenix browser automation tests through natural language.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/markmircea/Selenix-MCP-Server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/markmircea/Selenix-MCP-Server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lespaceman-agent-web-interface", "name": "lespaceman/agent-web-interface", "name_en": "lespaceman/agent-web-interface", "desc": "Token-efficient browser automation: semantic page snapshots and stable element IDs instead of raw DOM or screenshots, driving Chrome over CDP.", "desc_en": "Token-efficient browser automation: semantic page snapshots and stable element IDs instead of raw DOM or screenshots, driving Chrome over CDP.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lespaceman/agent-web-interface", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lespaceman/agent-web-interface", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-leonting1010-tap", "name": "LeonTing1010/tap", "name_en": "LeonTing1010/tap", "desc": "Compile browser automation into deterministic plans that run in your logged-in Chrome without runtime LLM calls, detecting drift when sites change.", "desc_en": "Compile browser automation into deterministic plans that run in your logged-in Chrome without runtime LLM calls, detecting drift when sites change.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/LeonTing1010/tap", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/LeonTing1010/tap", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-larrywalkerdev-mcp-immostage", "name": "LarryWalkerDEV/mcp-immostage", "name_en": "LarryWalkerDEV/mcp-immostage", "desc": "Virtual staging for real estate: stage empty rooms, turn floor plans into 3D renders, classify room images, write property descriptions and suggest styles.", "desc_en": "Virtual staging for real estate: stage empty rooms, turn floor plans into 3D renders, classify room images, write property descriptions and suggest styles.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/LarryWalkerDEV/mcp-immostage", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/LarryWalkerDEV/mcp-immostage", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-hunglp97-tabpilot-mcp", "name": "hunglp97/tabpilot-mcp", "name_en": "hunglp97/tabpilot-mcp", "desc": "Drive your open, logged-in Chrome with token-budgeted page reading, complex SPA form and survey handling, and headless Ubuntu support.", "desc_en": "Drive your open, logged-in Chrome with token-budgeted page reading, complex SPA form and survey handling, and headless Ubuntu support.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hunglp97/tabpilot-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hunglp97/tabpilot-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-hshintelligence-agent-scrape", "name": "hshintelligence/agent-scrape", "name_en": "hshintelligence/agent-scrape", "desc": "Pay-per-call web scraping via x402 on Base, with structured extraction, screenshots, metadata, browser sessions and workflows.", "desc_en": "Pay-per-call web scraping via x402 on Base, with structured extraction, screenshots, metadata, browser sessions and workflows.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hshintelligence/agent-scrape", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hshintelligence/agent-scrape", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-hanzili-comet-mcp", "name": "hanzili/comet-mcp", "name_en": "hanzili/comet-mcp", "desc": "Connect to the Perplexity Comet browser for agentic browsing, deep research and real-time task monitoring.", "desc_en": "Connect to the Perplexity Comet browser for agentic browsing, deep research and real-time task monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hanzili/comet-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hanzili/comet-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sh6drack-zen-mcp", "name": "sh6drack/zen-mcp", "name_en": "sh6drack/zen-mcp", "desc": "Zen Browser automation via WebDriver BiDi: navigation, form filling, screenshots and JavaScript evaluation.", "desc_en": "Zen Browser automation via WebDriver BiDi: navigation, form filling, screenshots and JavaScript evaluation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sh6drack/zen-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sh6drack/zen-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-segentic-lab-periscope-mcp", "name": "segentic-lab/periscope-mcp", "name_en": "segentic-lab/periscope-mcp", "desc": "Website testing with Playwright: assertions, auto form-fill, persistent logins, network mocking, and accessibility, SEO, GEO and Lighthouse audits.", "desc_en": "Website testing with Playwright: assertions, auto form-fill, persistent logins, network mocking, and accessibility, SEO, GEO and Lighthouse audits.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/segentic-lab/periscope-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/segentic-lab/periscope-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sanggonboy-pyrecrawl", "name": "SanggonBoy/PyreCrawl", "name_en": "SanggonBoy/PyreCrawl", "desc": "Self-hosted web scraping: scrape, extract, crawl, map, search, academic papers, research and monitoring, with a tiered fallback including Cloudflare bypass.", "desc_en": "Self-hosted web scraping: scrape, extract, crawl, map, search, academic papers, research and monitoring, with a tiered fallback including Cloudflare bypass.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SanggonBoy/PyreCrawl", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SanggonBoy/PyreCrawl", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mi60dev-visionaire-engine", "name": "mi60dev/visionaire-engine", "name_en": "mi60dev/visionaire-engine", "desc": "Design debugging in Chrome: which CSS rule wins (with file and line), its blast radius, scoped fix selectors, live fix trials and WCAG contrast audits.", "desc_en": "Design debugging in Chrome: which CSS rule wins (with file and line), its blast radius, scoped fix selectors, live fix trials and WCAG contrast audits.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mi60dev/visionaire-engine", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mi60dev/visionaire-engine", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-frsorrentino-chrome-bridge", "name": "frsorrentino/chrome-bridge", "name_en": "frsorrentino/chrome-bridge", "desc": "Drive your logged-in Chrome via an extension: compact element refs, visual regression, accessibility, SEO and security audits, and network mocking.", "desc_en": "Drive your logged-in Chrome via an extension: compact element refs, visual regression, accessibility, SEO and security audits, and network mocking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/frsorrentino/chrome-bridge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/frsorrentino/chrome-bridge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-microsoft-playwright-mcp", "name": "microsoft/playwright-mcp", "name_en": "microsoft/playwright-mcp", "desc": "Playwright browser automation: interact with web pages through structured accessibility snapshots.", "desc_en": "Playwright browser automation: interact with web pages through structured accessibility snapshots.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/microsoft/playwright-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/microsoft/playwright-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:41.293Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 39 }, { "id": "mcp-beatapi-beatbrowser", "name": "BeatAPI/BeatBrowser", "name_en": "BeatAPI/BeatBrowser", "desc": "Connect compatible agents to an existing Chrome profile through an extension and local MCP bridge, with background task windows, pause and human takeover.", "desc_en": "Connect compatible agents to an existing Chrome profile through an extension and local MCP bridge, with background task windows, pause and human takeover.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BeatAPI/BeatBrowser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BeatAPI/BeatBrowser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-sanikacentric-biolit-mcp", "name": "sanikacentric/biolit-mcp", "name_en": "sanikacentric/biolit-mcp", "desc": "Citation-grounded biomedical literature review over PubMed, Europe PMC, NCBI Gene and UniProt, with a citation-accuracy benchmark.", "desc_en": "Citation-grounded biomedical literature review over PubMed, Europe PMC, NCBI Gene and UniProt, with a citation-accuracy benchmark.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sanikacentric/biolit-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sanikacentric/biolit-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-berkantacun-ifc-ruhsat", "name": "BerkantACUN/ifc-ruhsat", "name_en": "BerkantACUN/ifc-ruhsat", "desc": "Checks an IFC building model against Türkiye's building-permit BIM regulation (Official Gazette 33331, in force Sept 2027): mandatory IFC 4.3 classes and category codes, per-class attribute and property-set requirements (all 68 annex tables, incl. the Türkiye-specific `TREpys_` sets), TUREF coordinate system, naming templates and space geometry — and fills in the regulation's 21-row Annex-9 quality-control form. Findings cite the article and annex table with GlobalIds; rows a machine cannot verify are reported as manual, never as passed. Also exports buildingSMART IDS. `uvx ifc-ruhsat mcp`; on the official registry as `io.github.BerkantACUN/ifc-ruhsat`.", "desc_en": "Checks an IFC building model against Türkiye's building-permit BIM regulation (Official Gazette 33331, in force Sept 2027): mandatory IFC 4.3 classes and category codes, per-class attribute and property-set requirements (all 68 annex tables, incl. the Türkiye-specific `TREpys_` sets), TUREF coordinate system, naming templates and space geometry — and fills in the regulation's 21-row Annex-9 quality-control form. Findings cite the article and annex table with GlobalIds; rows a machine cannot verify are reported as manual, never as passed. Also exports buildingSMART IDS. `uvx ifc-ruhsat mcp`; on the official registry as `io.github.BerkantACUN/ifc-ruhsat`.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BerkantACUN/ifc-ruhsat", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BerkantACUN/ifc-ruhsat", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-aceatdev-ascended-browser", "name": "AceAtDev/ascended-browser", "name_en": "AceAtDev/ascended-browser", "desc": "Local browser MCP for coding-agent QA with verified actions, screenshots, read-only network and console inspection, and interruption recovery warnings.", "desc_en": "Local browser MCP for coding-agent QA with verified actions, screenshots, read-only network and console inspection, and interruption recovery warnings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AceAtDev/ascended-browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AceAtDev/ascended-browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-77777r7-octocrawl", "name": "77777R7/Octocrawl", "name_en": "77777R7/Octocrawl", "desc": "Web scraping for AI agents: scrape, map, crawl and batch public pages into Markdown, tables and JSON, each with an Evidence Record (final URL, HTTP status, robots.txt decision, content hashes); a blocked or empty page comes back with the reason. Hosted at `https://mcp.octocrawl.dev/mcp` or local via `npx -y @octocrawl/mcp`. [Setup](https://octocrawl.dev/docs/connect-mcp/?utm_source=awesome-mcp-servers&utm_medium=listing).", "desc_en": "Web scraping for AI agents: scrape, map, crawl and batch public pages into Markdown, tables and JSON, each with an Evidence Record (final URL, HTTP status, robots.txt decision, content hashes); a blocked or empty page comes back with the reason. Hosted at `https://mcp.octocrawl.dev/mcp` or local via `npx -y @octocrawl/mcp`. [Setup](https://octocrawl.dev/docs/connect-mcp/?utm_source=awesome-mcp-servers&utm_medium=listing).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/77777R7/Octocrawl", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/77777R7/Octocrawl", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-nickjlamb-pubcrawl", "name": "nickjlamb/pubcrawl", "name_en": "nickjlamb/pubcrawl", "desc": "PubMed, Europe PMC (including preprints), FDA/DailyMed and UK eMC drug labelling, and ClinicalTrials.gov for AI assistants, including side-by-side US vs UK label comparison. Every result cites its PMID, NCT ID or DOI; no API key required.", "desc_en": "PubMed, Europe PMC (including preprints), FDA/DailyMed and UK eMC drug labelling, and ClinicalTrials.gov for AI assistants, including side-by-side US vs UK label comparison. Every result cites its PMID, NCT ID or DOI; no API key required.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nickjlamb/pubcrawl", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nickjlamb/pubcrawl", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-danielluo2-bioharbor", "name": "danielLuo2/bioharbor", "name_en": "danielLuo2/bioharbor", "desc": "Run MMseqs2 homology search, ESMFold structure prediction and sequence tools on your own GPUs, with GPU-aware scheduling on shared machines, input prechecks and per-run provenance.", "desc_en": "Run MMseqs2 homology search, ESMFold structure prediction and sequence tools on your own GPUs, with GPU-aware scheduling on shared machines, input prechecks and per-run provenance.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/danielLuo2/bioharbor", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/danielLuo2/bioharbor", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-tylergibbs1-backwork-mcp", "name": "tylergibbs1/backwork-mcp", "name_en": "tylergibbs1/backwork-mcp", "desc": "Medicare and commercial payer medical policy, prior authorization checks, claim risk and medical code lookup with cited sources, via hosted OAuth remote or local stdio.", "desc_en": "Medicare and commercial payer medical policy, prior authorization checks, claim risk and medical code lookup with cited sources, via hosted OAuth remote or local stdio.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tylergibbs1/backwork-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tylergibbs1/backwork-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-sachinbkale27-label-image-mcp", "name": "sachinbkale27/label-image-mcp", "name_en": "sachinbkale27/label-image-mcp", "desc": "Manage images and annotations in the Image Label annotation tool (histopathology, microscopy): bulk upload, annotation clean-up and COCO/YOLO dataset export.", "desc_en": "Manage images and annotations in the Image Label annotation tool (histopathology, microscopy): bulk upload, annotation clean-up and COCO/YOLO dataset export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sachinbkale27/label-image-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sachinbkale27/label-image-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-dynamicsninja-garminconnect-js", "name": "DynamicsNinja/garminconnect-js", "name_en": "DynamicsNinja/garminconnect-js", "desc": "Garmin Connect data in your assistant: sleep, HRV, training readiness, activities, workouts, weight and more across 193 tools. Use the free hosted connector (https://garmin.ficdev.xyz/claude) or run it locally via npm or the Claude Desktop extension.", "desc_en": "Garmin Connect data in your assistant: sleep, HRV, training readiness, activities, workouts, weight and more across 193 tools. Use the free hosted connector (https://garmin.ficdev.xyz/claude) or run it locally via npm or the Claude Desktop extension.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/DynamicsNinja/garminconnect-js", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/DynamicsNinja/garminconnect-js", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-openreadout-openreadout", "name": "openreadout/openreadout", "name_en": "openreadout/openreadout", "desc": "Lets agents read raw lab-instrument files without vendor software: microscopy, mass spectrometry, chromatography, flow cytometry, NMR, electrophysiology, plate readers and qPCR. Returns metadata, images, spectra and traces as JSON, checks files for damage, and converts them to open formats (OME-TIFF, OME-Zarr, mzML, Parquet).", "desc_en": "Lets agents read raw lab-instrument files without vendor software: microscopy, mass spectrometry, chromatography, flow cytometry, NMR, electrophysiology, plate readers and qPCR. Returns metadata, images, spectra and traces as JSON, checks files for damage, and converts them to open formats (OME-TIFF, OME-Zarr, mzML, Parquet).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/openreadout/openreadout", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/openreadout/openreadout", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-devhusnainai-zerodom", "name": "DevHusnainAi/zerodom", "name_en": "DevHusnainAi/zerodom", "desc": "Deterministic attack-surface perception for AI security agents. Attaches over `chrome.debugger` to the Chrome you're already logged into (cookies, MFA and SSO already done) and turns the live page into a short numbered interaction graph an agent can act on (`[03] button 'Sign In'`), with CSS selectors kept server-side and out of the model's context. Cross-identity tools (`compare_identities`, `replay`) flag a byte-identical response across two logged-in users as a cross-tenant IDOR, and `scan` maps the attack surface from the CLI. No LLM in the parse; 71% fewer tokens than Playwright's ARIA snapshot mode.", "desc_en": "Deterministic attack-surface perception for AI security agents. Attaches over `chrome.debugger` to the Chrome you're already logged into (cookies, MFA and SSO already done) and turns the live page into a short numbered interaction graph an agent can act on (`[03] button 'Sign In'`), with CSS selectors kept server-side and out of the model's context. Cross-identity tools (`compare_identities`, `replay`) flag a byte-identical response across two logged-in users as a cross-tenant IDOR, and `scan` maps the attack surface from the CLI. No LLM in the parse; 71% fewer tokens than Playwright's ARIA snapshot mode.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/DevHusnainAi/zerodom", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/DevHusnainAi/zerodom", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-eric-huang799-duplex", "name": "Eric-huang799/duplex", "name_en": "Eric-huang799/duplex", "desc": "A browser shared by a human and an AI — same tabs, same live session; 24 MCP tools (snapshot, click, type, screenshot, tabs, annotations), built-in models or any MCP client, Esc takeover.", "desc_en": "A browser shared by a human and an AI — same tabs, same live session; 24 MCP tools (snapshot, click, type, screenshot, tabs, annotations), built-in models or any MCP client, Esc takeover.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Eric-huang799/duplex", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Eric-huang799/duplex", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-ahtasham00-tactab", "name": "Ahtasham00/tactab", "name_en": "Ahtasham00/tactab", "desc": "Tactile browser control and multimodal visual vision MCP bridge for Google Chrome.", "desc_en": "Tactile browser control and multimodal visual vision MCP bridge for Google Chrome.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Ahtasham00/tactab", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Ahtasham00/tactab", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-rewire-bio-genomics-mcp", "name": "rewire-bio/genomics-mcp", "name_en": "rewire-bio/genomics-mcp", "desc": "Discover EGA, ENA, ENCODE, GEO and NCBI datasets; retrieve bounded reads, variants, sequence and signal from indexed genomic files; and query versioned reference evidence.", "desc_en": "Discover EGA, ENA, ENCODE, GEO and NCBI datasets; retrieve bounded reads, variants, sequence and signal from indexed genomic files; and query versioned reference evidence.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rewire-bio/genomics-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rewire-bio/genomics-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 19 }, { "id": "mcp-freema-firefox-devtools-mcp", "name": "freema/firefox-devtools-mcp", "name_en": "freema/firefox-devtools-mcp", "desc": "Firefox automation via WebDriver BiDi: snapshot-based interactions, network monitoring, console capture and screenshots for testing and scraping.", "desc_en": "Firefox automation via WebDriver BiDi: snapshot-based interactions, network monitoring, console capture and screenshots for testing and scraping.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/freema/firefox-devtools-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/freema/firefox-devtools-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-fradser-mcp-server-apple-reminders", "name": "fradser/mcp-server-apple-reminders", "name_en": "fradser/mcp-server-apple-reminders", "desc": "Interact with Apple Reminders on macOS.", "desc_en": "Interact with Apple Reminders on macOS.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/FradSer/mcp-server-apple-reminders", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/FradSer/mcp-server-apple-reminders", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-feedthrough-feedthrough", "name": "feedthrough/feedthrough", "name_en": "feedthrough/feedthrough", "desc": "In-page debug bridge for web apps: read the DOM, console logs and network requests and interact with the page, in any browser or Cypress/Playwright run.", "desc_en": "In-page debug bridge for web apps: read the DOM, console logs and network requests and interact with the page, in any browser or Cypress/Playwright run.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/feedthrough/feedthrough", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/feedthrough/feedthrough", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-eyalzh-browser-control-mcp", "name": "eyalzh/browser-control-mcp", "name_en": "eyalzh/browser-control-mcp", "desc": "Control the user's Firefox browser via a companion extension.", "desc_en": "Control the user's Firefox browser via a companion extension.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/eyalzh/browser-control-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/eyalzh/browser-control-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-executeautomation-mcp-playwright", "name": "executeautomation/playwright-mcp-server", "name_en": "executeautomation/playwright-mcp-server", "desc": "Browser automation and web scraping using Playwright.", "desc_en": "Browser automation and web scraping using Playwright.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/executeautomation/mcp-playwright", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/executeautomation/mcp-playwright", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-eat-pray-ai-yutu", "name": "eat-pray-ai/yutu", "name_en": "eat-pray-ai/yutu", "desc": "Automate YouTube operations, also available as a CLI.", "desc_en": "Automate YouTube operations, also available as a CLI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/eat-pray-ai/yutu", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/eat-pray-ai/yutu", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-dmytrome-groundhog", "name": "dmytrome/groundhog", "name_en": "dmytrome/groundhog", "desc": "Web search, reading and research through stealth-patched Chrome: strips hidden text, ranks passages across sources and returns SHA-256 provenance receipts.", "desc_en": "Web search, reading and research through stealth-patched Chrome: strips hidden text, ranks passages across sources and returns SHA-256 provenance receipts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dmytrome/groundhog", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dmytrome/groundhog", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-dashi96-chromium-bridge", "name": "dashi96/chromium-bridge", "name_en": "dashi96/chromium-bridge", "desc": "Control Chromium-based browsers such as Arc, Vivaldi and Brave via an extension: navigate, click, read pages, run JavaScript and record GIFs.", "desc_en": "Control Chromium-based browsers such as Arc, Vivaldi and Brave via an extension: navigate, click, read pages, run JavaScript and record GIFs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dashi96/chromium-bridge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dashi96/chromium-bridge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-custodia-admin-pagebolt-mcp", "name": "Custodia-Admin/pagebolt-mcp", "name_en": "Custodia-Admin/pagebolt-mcp", "desc": "Generate screenshots, PDFs, OG images and narrated video recordings.", "desc_en": "Generate screenshots, PDFs, OG images and narrated video recordings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Custodia-Admin/pagebolt-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Custodia-Admin/pagebolt-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cubenest-rrweb-stack", "name": "Cubenest/rrweb-stack", "name_en": "Cubenest/rrweb-stack", "desc": "Record your authenticated browser session (rrweb DOM, console, network) to local SQLite with PII masking, so coding agents can query it or drive the browser.", "desc_en": "Record your authenticated browser session (rrweb DOM, console, network) to local SQLite with PII masking, so coding agents can query it or drive the browser.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Cubenest/rrweb-stack", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Cubenest/rrweb-stack", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ceki-me-mcp-server", "name": "Ceki-me/mcp-server", "name_en": "Ceki-me/mcp-server", "desc": "Rent residential Chrome browsers run by real people, with real fingerprints and residential IPs.", "desc_en": "Rent residential Chrome browsers run by real people, with real fingerprints and residential IPs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Ceki-me/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Ceki-me/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-corralimited-snapdiff-mcp", "name": "corralimited/snapdiff-mcp", "name_en": "corralimited/snapdiff-mcp", "desc": "Intent-aware visual verification: declare what a UI change should affect, then diff the page against a baseline and flag changes outside that scope.", "desc_en": "Intent-aware visual verification: declare what a UI change should affect, then diff the page against a baseline and flag changes outside that scope.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/corralimited/snapdiff-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/corralimited/snapdiff-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-corbinvachal48-agentrender-mcp", "name": "corbinvachal48/agentrender-mcp", "name_en": "corbinvachal48/agentrender-mcp", "desc": "Convert URLs into screenshots, PDFs or structured extracts.", "desc_en": "Convert URLs into screenshots, PDFs or structured extracts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/corbinvachal48/agentrender-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/corbinvachal48/agentrender-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-co-browser-browser-use-mcp-server", "name": "co-browser/browser-use-mcp-server", "name_en": "co-browser/browser-use-mcp-server", "desc": "Browser automation with browser-use, including a Dockerfile to run Chromium in Docker with a VNC server.", "desc_en": "Browser automation with browser-use, including a Dockerfile to run Chromium in Docker with a VNC server.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/co-browser/browser-use-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/co-browser/browser-use-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-brutalzinn-simple-mcp-selenium", "name": "brutalzinn/simple-mcp-selenium", "name_en": "brutalzinn/simple-mcp-selenium", "desc": "Control browsers with Selenium using natural language, for testing, automation and multi-user scenarios.", "desc_en": "Control browsers with Selenium using natural language, for testing, automation and multi-user scenarios.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/brutalzinn/simple-mcp-selenium", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/brutalzinn/simple-mcp-selenium", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-browsermcp-mcp", "name": "browsermcp/mcp", "name_en": "browsermcp/mcp", "desc": "Automate your local Chrome browser.", "desc_en": "Automate your local Chrome browser.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/browsermcp/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/browsermcp/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-browserless-browserless-mcp", "name": "browserless/browserless-mcp", "name_en": "browserless/browserless-mcp", "desc": "Headless browser automation and web scraping via the Browserless smart scraper API.", "desc_en": "Headless browser automation and web scraping via the Browserless smart scraper API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/browserless/browserless-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/browserless/browserless-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-blackwhite084-playwright-plus-python-mcp", "name": "blackwhite084/playwright-plus-python-mcp", "name_en": "blackwhite084/playwright-plus-python-mcp", "desc": "Browser automation using Playwright, tailored for LLMs.", "desc_en": "Browser automation using Playwright, tailored for LLMs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/blackwhite084/playwright-plus-python-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/blackwhite084/playwright-plus-python-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-autokeren-ghostfox", "name": "autokeren/ghostfox", "name_en": "autokeren/ghostfox", "desc": "Self-hosted stealth browser built on a Firefox fork with fingerprint spoofing, shadow-DOM-aware page reading, login state detection and evidence recording.", "desc_en": "Self-hosted stealth browser built on a Firefox fork with fingerprint spoofing, shadow-DOM-aware page reading, login state detection and evidence recording.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/autokeren/ghostfox", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/autokeren/ghostfox", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bighippoman-intercept-mcp", "name": "bighippoman/intercept-mcp", "name_en": "bighippoman/intercept-mcp", "desc": "Fetch web content as clean Markdown through a multi-tier fallback chain, handling tweets, YouTube, arXiv, PDFs and regular pages.", "desc_en": "Fetch web content as clean Markdown through a multi-tier fallback chain, handling tweets, YouTube, arXiv, PDFs and regular pages.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bighippoman/intercept-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bighippoman/intercept-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bgaze-snapstack-server", "name": "bgaze/snapstack-server", "name_en": "bgaze/snapstack-server", "desc": "One-click browser-tab screenshots, captured by a companion extension and served locally to the model on demand.", "desc_en": "One-click browser-tab screenshots, captured by a companion extension and served locally to the model on demand.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bgaze/snapstack-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bgaze/snapstack-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bch1212-agentfetch-mcp", "name": "bch1212/agentfetch-mcp", "name_en": "bch1212/agentfetch-mcp", "desc": "Token-budgeted web fetching that routes between Trafilatura, Jina Reader, Firecrawl and pypdf by URL, with token estimates, caching and truncation.", "desc_en": "Token-budgeted web fetching that routes between Trafilatura, Jina Reader, Firecrawl and pypdf by URL, with token estimates, caching and truncation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bch1212/agentfetch-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bch1212/agentfetch-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bb-fat-browser-use-rs", "name": "BB-fat/browser-use-rs", "name_en": "BB-fat/browser-use-rs", "desc": "Lightweight browser automation with zero dependencies.", "desc_en": "Lightweight browser automation with zero dependencies.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BB-fat/browser-use-rs", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BB-fat/browser-use-rs", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-automata-labs-team-mcp-server-playwright", "name": "automatalabs/mcp-server-playwright", "name_en": "automatalabs/mcp-server-playwright", "desc": "Browser automation using Playwright.", "desc_en": "Browser automation using Playwright.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Automata-Labs-team/MCP-Server-Playwright", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Automata-Labs-team/MCP-Server-Playwright", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-auspy-supasidebar-mcp", "name": "auspy/supasidebar-mcp", "name_en": "auspy/supasidebar-mcp", "desc": "Access and organize open tabs, bookmarks and recent links across macOS browsers via the SupaSidebar app.", "desc_en": "Access and organize open tabs, bookmarks and recent links across macOS browsers via the SupaSidebar app.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/auspy/supasidebar-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/auspy/supasidebar-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-apireno-domshell", "name": "apireno/DOMShell", "name_en": "apireno/DOMShell", "desc": "Browse the web with filesystem commands (ls, cd, grep, click) by mapping Chrome's accessibility tree to a virtual filesystem via an extension.", "desc_en": "Browse the web with filesystem commands (ls, cd, grep, click) by mapping Chrome's accessibility tree to a virtual filesystem via an extension.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/apireno/DOMShell", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/apireno/DOMShell", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aparajithn-agent-scraper-mcp", "name": "aparajithn/agent-scraper-mcp", "name_en": "aparajithn/agent-scraper-mcp", "desc": "Web scraping: clean content extraction, CSS-selector scraping, Playwright screenshots, link and metadata extraction, and Google search.", "desc_en": "Web scraping: clean content extraction, CSS-selector scraping, Playwright screenshots, link and metadata extraction, and Google search.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aparajithn/agent-scraper-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aparajithn/agent-scraper-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-andresolbach-nodriver-mcp-server", "name": "andresolbach/nodriver-mcp-server", "name_en": "andresolbach/nodriver-mcp-server", "desc": "Undetected Chrome automation via nodriver for anti-bot protected sites: accessibility snapshots, input automation, network inspection and persistent sessions.", "desc_en": "Undetected Chrome automation via nodriver for anti-bot protected sites: accessibility snapshots, input automation, network inspection and persistent sessions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/andresolbach/nodriver-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/andresolbach/nodriver-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ami-guru-x402-scraper-engine", "name": "ami-guru/x402-scraper-engine", "name_en": "ami-guru/x402-scraper-engine", "desc": "Web scraping, Llama 3 digests and Twitter intelligence, paid per call in USDC via x402 on Base.", "desc_en": "Web scraping, Llama 3 digests and Twitter intelligence, paid per call in USDC via x402 on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ami-guru/x402-scraper-engine", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ami-guru/x402-scraper-engine", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-parastejpal987-cmyk-opticparse-public", "name": "parastejpal987-cmyk/opticparse-public", "name_en": "parastejpal987-cmyk/opticparse-public", "desc": "Visual, multimodal web scraping without CSS selectors, plus phishing and crypto drainer detection.", "desc_en": "Visual, multimodal web scraping without CSS selectors, plus phishing and crypto drainer detection.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/parastejpal987-cmyk/opticparse-public", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/parastejpal987-cmyk/opticparse-public", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-alex-on-ai-webreaper", "name": "alex-on-ai/WebReaper", "name_en": "alex-on-ai/WebReaper", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alex-on-ai/WebReaper", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alex-on-ai/WebReaper", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aishwaryshrivastav-vibe-testing", "name": "AishwaryShrivastav/vibe-testing", "name_en": "AishwaryShrivastav/vibe-testing", "desc": "Code-aware browser testing that reads routes, forms and existing tests, runs Playwright scenarios, and keeps regression history and screenshot reports.", "desc_en": "Code-aware browser testing that reads routes, forms and existing tests, runs Playwright scenarios, and keeps regression history and screenshot reports.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AishwaryShrivastav/vibe-testing", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AishwaryShrivastav/vibe-testing", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-agent360dk-browser-mcp", "name": "Agent360dk/browser-mcp", "name_en": "Agent360dk/browser-mcp", "desc": "Control your real, logged-in Chrome browser via an extension, with multiple concurrent color-coded sessions.", "desc_en": "Control your real, logged-in Chrome browser via an extension, with multiple concurrent color-coded sessions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Agent360dk/browser-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Agent360dk/browser-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 25 }, { "id": "mcp-bytedance-ui-tars-desktop-tree-main-packages-agent-infra-mcp", "name": "agent-infra/mcp-server-browser", "name_en": "agent-infra/mcp-server-browser", "desc": "Browser automation using Puppeteer, supporting local and remote browser connections.", "desc_en": "Browser automation using Puppeteer, supporting local and remote browser connections.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bytedance/UI-TARS-desktop/tree/main/packages/agent-infra/mcp-servers/browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bytedance/UI-TARS-desktop/tree/main/packages/agent-infra/mcp-servers/browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aethynio-aethyn-browser-mcp", "name": "aethynio/aethyn-browser-mcp", "name_en": "aethynio/aethyn-browser-mcp", "desc": "Drive a local Playwright browser through residential proxies with a chosen exit country or city and a sticky identity per task.", "desc_en": "Drive a local Playwright browser through residential proxies with a chosen exit country or city and a sticky identity per task.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aethynio/aethyn-browser-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aethynio/aethyn-browser-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-acunningham-ship-it-veilbrowser", "name": "acunningham-ship-it/veilbrowser", "name_en": "acunningham-ship-it/veilbrowser", "desc": "Stealth automation of unmodified Chrome over raw CDP, using accessibility-tree element refs; can attach to a running Chrome to reuse logged-in sessions.", "desc_en": "Stealth automation of unmodified Chrome over raw CDP, using accessibility-tree element refs; can attach to a running Chrome to reuse logged-in sessions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/acunningham-ship-it/veilbrowser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/acunningham-ship-it/veilbrowser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-achiya-automation-safari-mcp", "name": "achiya-automation/safari-mcp", "name_en": "achiya-automation/safari-mcp", "desc": "Native Safari browser automation without a Chrome dependency.", "desc_en": "Native Safari browser automation without a Chrome dependency.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/achiya-automation/safari-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/achiya-automation/safari-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-34892002-bilibili-mcp-js", "name": "34892002/bilibili-mcp-js", "name_en": "34892002/bilibili-mcp-js", "desc": "Search Bilibili content, with LangChain integration examples.", "desc_en": "Search Bilibili content, with LangChain integration examples.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/34892002/bilibili-mcp-js", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/34892002/bilibili-mcp-js", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wjgoarxiv-pymol-mcp", "name": "wjgoarxiv/pymol-mcp", "name_en": "wjgoarxiv/pymol-mcp", "desc": "Headless PyMOL for molecular visualization, GROMACS/LAMMPS trajectories and clathrate-hydrate cage analysis, including H-bond networks and order parameters.", "desc_en": "Headless PyMOL for molecular visualization, GROMACS/LAMMPS trajectories and clathrate-hydrate cage analysis, including H-bond networks and order parameters.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/wjgoarxiv/pymol-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/wjgoarxiv/pymol-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wso2-fhir-mcp-server", "name": "wso2/fhir-mcp-server", "name_en": "wso2/fhir-mcp-server", "desc": "Search, retrieve, create, update and analyze clinical data via FHIR APIs, with SMART-on-FHIR authentication.", "desc_en": "Search, retrieve, create, update and analyze clinical data via FHIR APIs, with SMART-on-FHIR authentication.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/wso2/fhir-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/wso2/fhir-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-thelongevityvault-decoder-3am-mcp", "name": "thelongevityvault/decoder-3am-mcp", "name_en": "thelongevityvault/decoder-3am-mcp", "desc": "Classify the likely biological cause of 3am wakeups from symptom descriptions using The Longevity Vault's five-cause framework.", "desc_en": "Classify the likely biological cause of 3am wakeups from symptom descriptions using The Longevity Vault's five-cause framework.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thelongevityvault/decoder-3am-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thelongevityvault/decoder-3am-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-thehealthai-fda-risk-radar-mcp", "name": "thehealthai/fda-risk-radar-mcp", "name_en": "thehealthai/fda-risk-radar-mcp", "desc": "FDA and NHTSA regulatory risk data: device compliance risk, 510(k) evidence, predicate chains, postmarket signals, reimbursement pathways and vehicle safety.", "desc_en": "FDA and NHTSA regulatory risk data: device compliance risk, 510(k) evidence, predicate chains, postmarket signals, reimbursement pathways and vehicle safety.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thehealthai/fda-risk-radar-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thehealthai/fda-risk-radar-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-thehealthai-clarity-mcp", "name": "thehealthai/clarity-mcp", "name_en": "thehealthai/clarity-mcp", "desc": "Condition-aware safety checks for ingredients, products and supplements, with cited evidence verdicts, claim fact-checking and FDA recall lookup.", "desc_en": "Condition-aware safety checks for ingredients, products and supplements, with cited evidence verdicts, claim fact-checking and FDA recall lookup.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thehealthai/clarity-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thehealthai/clarity-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-the-momentum-fhir-mcp-server", "name": "the-momentum/fhir-mcp-server", "name_en": "the-momentum/fhir-mcp-server", "desc": "Connect to FHIR servers, for example to query patient history in natural language.", "desc_en": "Connect to FHIR servers, for example to query patient history in natural language.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/the-momentum/fhir-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/the-momentum/fhir-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-the-momentum-apple-health-mcp-server", "name": "the-momentum/apple-health-mcp-server", "name_en": "the-momentum/apple-health-mcp-server", "desc": "Access and analyze exported Apple Health data.", "desc_en": "Access and analyze exported Apple Health data.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/the-momentum/apple-health-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/the-momentum/apple-health-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smaniches-uniprot-mcp", "name": "smaniches/uniprot-mcp", "name_en": "smaniches/uniprot-mcp", "desc": "Query the UniProt knowledgebase (entries, features, variants, PTMs, GO terms, cross-references) with per-query SHA-256 provenance and offline replay.", "desc_en": "Query the UniProt knowledgebase (entries, features, variants, PTMs, GO terms, cross-references) with per-query SHA-256 provenance and offline replay.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smaniches/uniprot-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smaniches/uniprot-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smaniches-alphafold-sovereign-mcp", "name": "smaniches/alphafold-sovereign-mcp", "name_en": "smaniches/alphafold-sovereign-mcp", "desc": "AlphaFold DB and other public biomedical sources in a local SQLite knowledge graph for structure confidence, variants, diseases, drug targets and orthology.", "desc_en": "AlphaFold DB and other public biomedical sources in a local SQLite knowledge graph for structure confidence, variants, diseases, drug targets and orthology.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smaniches/alphafold-sovereign-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smaniches/alphafold-sovereign-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sikcapri-superglookoquery", "name": "sikcapri/superglookoquery", "name_en": "sikcapri/superglookoquery", "desc": "Clinical audit of Glooko diabetes data from any pump or CGM: time in range, GMI, trends and bolus/basal analysis, adapting to the data your devices report.", "desc_en": "Clinical audit of Glooko diabetes data from any pump or CGM: time in range, GMI, trends and bolus/basal analysis, adapting to the data your devices report.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sikcapri/superglookoquery", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sikcapri/superglookoquery", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sidneybissoli-medical-terminologies-mcp", "name": "SidneyBissoli/medical-terminologies-mcp", "name_en": "SidneyBissoli/medical-terminologies-mcp", "desc": "Look up medical terminologies: ICD-11, LOINC, RxNorm, MeSH, ATC, Brazil's CID-10 (DataSUS) and optionally SNOMED CT.", "desc_en": "Look up medical terminologies: ICD-11, LOINC, RxNorm, MeSH, ATC, Brazil's CID-10 (DataSUS) and optionally SNOMED CT.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SidneyBissoli/medical-terminologies-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SidneyBissoli/medical-terminologies-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rajskij-oura-mcp", "name": "Rajskij/oura-mcp", "name_en": "Rajskij/oura-mcp", "desc": "Read-only, self-hosted access to Oura Ring sleep, readiness, activity, stress and heart rate data.", "desc_en": "Read-only, self-hosted access to Oura Ring sleep, readiness, activity, stress and heart rate data.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Rajskij/oura-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Rajskij/oura-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pubspro-pubmed-search", "name": "pubspro/pubmed-search", "name_en": "pubspro/pubmed-search", "desc": "Search PubMed and summarize biomedical literature.", "desc_en": "Search PubMed and summarize biomedical literature.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pubspro/pubmed-search", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pubspro/pubmed-search", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pkotecha-eng-aria-mcp-server", "name": "pkotecha-eng/aria-mcp-server", "name_en": "pkotecha-eng/aria-mcp-server", "desc": "Clinical research tools for trial coordinators and life sciences teams: real-time access to PubMed and ClinicalTrials.gov.", "desc_en": "Clinical research tools for trial coordinators and life sciences teams: real-time access to PubMed and ClinicalTrials.gov.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pkotecha-eng/aria-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pkotecha-eng/aria-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tatsuju-opdstar-nhi-mcp", "name": "tatsuju/opdstar-nhi-mcp", "name_en": "tatsuju/opdstar-nhi-mcp", "desc": "Taiwan National Health Insurance (NHI) data: rejection codes, ICD-10 to procedure mappings, audit indicators and semantic search over NHI documentation.", "desc_en": "Taiwan National Health Insurance (NHI) data: rejection codes, ICD-10 to procedure mappings, audit indicators and semantic search over NHI documentation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tatsuju/opdstar-nhi-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tatsuju/opdstar-nhi-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pantelisgeorgiadis-dicomweb-mcp-server", "name": "PantelisGeorgiadis/dicomweb-mcp-server", "name_en": "PantelisGeorgiadis/dicomweb-mcp-server", "desc": "Access a DICOMweb archive: search studies, series and instances, inspect metadata, read structured reports, extract PDF text and render frames.", "desc_en": "Access a DICOMweb archive: search studies, series and instances, inspect metadata, read structured reports, extract PDF text and render frames.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PantelisGeorgiadis/dicomweb-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PantelisGeorgiadis/dicomweb-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ohnlp-omop_mcp", "name": "OHNLP/omop_mcp", "name_en": "OHNLP/omop_mcp", "desc": "Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.", "desc_en": "Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/OHNLP/omop_mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/OHNLP/omop_mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-neptun2000-heor-agent-mcp", "name": "neptun2000/heor-agent-mcp", "name_en": "neptun2000/heor-agent-mcp", "desc": "Health economics and outcomes research: literature search across PubMed, NICE, CADTH, ICER and more, cost-effectiveness modeling and HTA dossier preparation.", "desc_en": "Health economics and outcomes research: literature search across PubMed, NICE, CADTH, ICER and more, cost-effectiveness modeling and HTA dossier preparation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/neptun2000/heor-agent-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/neptun2000/heor-agent-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-musharna-plant-genomics-mcp", "name": "musharna/plant-genomics-mcp", "name_en": "musharna/plant-genomics-mcp", "desc": "Plant genomics locus lookup across Ensembl Plants, Phytozome, UniProtKB, KEGG, STRING-DB, NCBI BLAST and more, with batch and cross-source queries.", "desc_en": "Plant genomics locus lookup across Ensembl Plants, Phytozome, UniProtKB, KEGG, STRING-DB, NCBI BLAST and more, with batch and cross-source queries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/musharna/plant-genomics-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/musharna/plant-genomics-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-longevity-genie-synergy-age-mcp", "name": "longevity-genie/synergy-age-mcp", "name_en": "longevity-genie/synergy-age-mcp", "desc": "Query the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.", "desc_en": "Query the SynergyAge database of synergistic and antagonistic genetic interactions in longevity.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/longevity-genie/synergy-age-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/longevity-genie/synergy-age-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-longevity-genie-opengenes-mcp", "name": "longevity-genie/opengenes-mcp", "name_en": "longevity-genie/opengenes-mcp", "desc": "Query the OpenGenes database for aging and longevity research.", "desc_en": "Query the OpenGenes database for aging and longevity research.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/longevity-genie/opengenes-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/longevity-genie/opengenes-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-longevity-genie-gget-mcp", "name": "longevity-genie/gget-mcp", "name_en": "longevity-genie/gget-mcp", "desc": "Bioinformatics toolkit for genomics queries and analysis, wrapping the gget library.", "desc_en": "Bioinformatics toolkit for genomics queries and analysis, wrapping the gget library.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/longevity-genie/gget-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/longevity-genie/gget-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-longevity-genie-biothings-mcp", "name": "longevity-genie/biothings-mcp", "name_en": "longevity-genie/biothings-mcp", "desc": "Query the BioThings API for genes, genetic variants, drugs and taxonomic information.", "desc_en": "Query the BioThings API for genes, genetic variants, drugs and taxonomic information.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/longevity-genie/biothings-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/longevity-genie/biothings-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-nyxtoolsdev-dicom-hl7-mcp-server", "name": "NyxToolsDev/dicom-hl7-mcp-server", "name_en": "NyxToolsDev/dicom-hl7-mcp-server", "desc": "Bridge DICOM, HL7v2 and FHIR: cross-standard mapping, Mirth Connect channel generation, vendor private tag decoding and integration patterns.", "desc_en": "Bridge DICOM, HL7v2 and FHIR: cross-standard mapping, Mirth Connect channel generation, vendor private tag decoding and integration patterns.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/NyxToolsDev/dicom-hl7-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/NyxToolsDev/dicom-hl7-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-salwks-mcp-techtrend", "name": "salwks/mcp-techTrend", "name_en": "salwks/mcp-techTrend", "desc": "Academic, code and medical-regulatory trend monitoring across arXiv, PubMed, GitHub, Hugging Face and openFDA, with newspaper-style briefings.", "desc_en": "Academic, code and medical-regulatory trend monitoring across arXiv, PubMed, GitHub, Hugging Face and openFDA, with newspaper-style briefings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/salwks/mcp-techTrend", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/salwks/mcp-techTrend", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-seosiri-official-biorobotics", "name": "SEOSiri-Official/biorobotics", "name_en": "SEOSiri-Official/biorobotics", "desc": "Bio-robotics engine that converts biological data from the UniProt API into Cartesian G-code coordinates.", "desc_en": "Bio-robotics engine that converts biological data from the UniProt API into Cartesian G-code coordinates.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SEOSiri-Official/biorobotics", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SEOSiri-Official/biorobotics", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mymedi-ai-mymedi-ai-mcp-server", "name": "MyMedi-AI/mymedi-ai-mcp-server", "name_en": "MyMedi-AI/mymedi-ai-mcp-server", "desc": "Healthcare billing: ICD-10, CPT and HCPCS code lookup, prior authorization prediction, claims validation, denial-risk scoring and HIPAA compliance auditing.", "desc_en": "Healthcare billing: ICD-10, CPT and HCPCS code lookup, prior authorization prediction, claims validation, denial-risk scoring and HIPAA compliance auditing.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MyMedi-AI/mymedi-ai-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MyMedi-AI/mymedi-ai-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mgnirck-lecka-mcp", "name": "mgnirck/lecka-mcp", "name_en": "mgnirck/lecka-mcp", "desc": "Race nutrition planning for endurance athletes: carb, sodium and fluid targets plus Lecka product recommendations by race type, conditions and weight.", "desc_en": "Race nutrition planning for endurance athletes: carb, sodium and fluid targets plus Lecka product recommendations by race type, conditions and weight.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mgnirck/lecka-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mgnirck/lecka-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kushaim-practice-fusion-mcp", "name": "kushaim/practice-fusion-mcp", "name_en": "kushaim/practice-fusion-mcp", "desc": "Read-only FHIR access to the Practice Fusion EHR: search patients and review appointments, conditions, medications and lab results.", "desc_en": "Read-only FHIR access to the Practice Fusion EHR: search patients and review appointments, conditions, medications and lab results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kushaim/practice-fusion-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kushaim/practice-fusion-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-javimaligno-vitamind-mcp", "name": "JaviMaligno/vitamind-mcp", "name_en": "JaviMaligno/vitamind-mcp", "desc": "Estimate solar vitamin D synthesis: whether it happens now, minutes needed by Fitzpatrick skin type and viable months by latitude, using Open-Meteo UV data.", "desc_en": "Estimate solar vitamin D synthesis: whether it happens now, minutes needed by Fitzpatrick skin type and viable months by latitude, using Open-Meteo UV data.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/JaviMaligno/vitamind-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/JaviMaligno/vitamind-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-jamesanz-medical-mcp", "name": "JamesANZ/medical-mcp", "name_en": "JamesANZ/medical-mcp", "desc": "Query medical information, drug databases, drug interactions and clinical guidelines.", "desc_en": "Query medical information, drug databases, drug interactions and clinical guidelines.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/JamesANZ/medical-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/JamesANZ/medical-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-hlydecker-ucsc-genome-mcp", "name": "hlydecker/ucsc-genome-mcp", "name_en": "hlydecker/ucsc-genome-mcp", "desc": "Interact with the UCSC Genome Browser API to find genomes, chromosomes and more.", "desc_en": "Interact with the UCSC Genome Browser API to find genomes, chromosomes and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hlydecker/ucsc-genome-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hlydecker/ucsc-genome-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-helena-bioinformatics-noodle-mcp", "name": "helena-bioinformatics/noodle-mcp", "name_en": "helena-bioinformatics/noodle-mcp", "desc": "Read-only biomedical literature search over a PubMed-derived corpus by natural language or PMID/DOI/PMCID, with citation and semantic graph traversal.", "desc_en": "Read-only biomedical literature search over a PubMed-derived corpus by natural language or PMID/DOI/PMCID, with citation and semantic graph traversal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/helena-bioinformatics/noodle-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/helena-bioinformatics/noodle-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-healthchainai-healthchain", "name": "healthchainai/HealthChain", "name_en": "healthchainai/HealthChain", "desc": "Typed FHIR tools: build, read, validate and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports.", "desc_en": "Typed FHIR tools: build, read, validate and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/healthchainai/HealthChain", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/healthchainai/HealthChain", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-genomoncology-biomcp", "name": "genomoncology/biomcp", "name_en": "genomoncology/biomcp", "desc": "Access biomedical research data from PubMed, ClinicalTrials.gov and MyVariant.info.", "desc_en": "Access biomedical research data from PubMed, ClinicalTrials.gov and MyVariant.info.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/genomoncology/biomcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/genomoncology/biomcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-fulcradynamics-fulcra-context-mcp", "name": "fulcradynamics/fulcra-context-mcp", "name_en": "fulcradynamics/fulcra-context-mcp", "desc": "Access personal health and biometric data (sleep stages, heart rate, HRV, glucose, workouts), calendar and location via the Fulcra Life API.", "desc_en": "Access personal health and biometric data (sleep stages, heart rate, HRV, glucose, workouts), calendar and location via the Fulcra Life API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/fulcradynamics/fulcra-context-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/fulcradynamics/fulcra-context-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-forever-healthy-evipedia-mcp", "name": "forever-healthy/evipedia-mcp", "name_en": "forever-healthy/evipedia-mcp", "desc": "Search Evipedia's evidence-based reviews of health and longevity interventions, fetch conclusions and metadata with PMIDs, and suggest new interventions.", "desc_en": "Search Evipedia's evidence-based reviews of health and longevity interventions, fetch conclusions and metadata with PMIDs, and suggest new interventions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forever-healthy/evipedia-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forever-healthy/evipedia-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ericblair1903-nutrients-mcp", "name": "ericblair1903/nutrients-mcp", "name_en": "ericblair1903/nutrients-mcp", "desc": "Nutrition analysis from a food photo or text description: calories, macros, vitamins, minerals, allergens and dietary flags.", "desc_en": "Nutrition analysis from a food photo or text description: calories, macros, vitamins, minerals, allergens and dietary flags.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ericblair1903/nutrients-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ericblair1903/nutrients-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-dnaerys-onekgpd-mcp", "name": "dnaerys/onekgpd-mcp", "name_en": "dnaerys/onekgpd-mcp", "desc": "Real-time access to the 1000 Genomes Project dataset.", "desc_en": "Real-time access to the 1000 Genomes Project dataset.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dnaerys/onekgpd-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dnaerys/onekgpd-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-davidmosiah-wellness-nourish", "name": "davidmosiah/wellness-nourish", "name_en": "davidmosiah/wellness-nourish", "desc": "Nutrition and hydration tracking: food search, barcode lookup, meal estimation, intake logs and daily summaries.", "desc_en": "Nutrition and hydration tracking: food search, barcode lookup, meal estimation, intake logs and daily summaries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/davidmosiah/wellness-nourish", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/davidmosiah/wellness-nourish", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-davidmosiah-wellness-cgm-mcp", "name": "davidmosiah/wellness-cgm-mcp", "name_en": "davidmosiah/wellness-cgm-mcp", "desc": "Local-first continuous glucose monitor data from the Dexcom Developer API and FreeStyle Libre via LibreLink Up.", "desc_en": "Local-first continuous glucose monitor data from the Dexcom Developer API and FreeStyle Libre via LibreLink Up.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/davidmosiah/wellness-cgm-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/davidmosiah/wellness-cgm-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-davidmosiah-google-health-mcp", "name": "davidmosiah/google-health-mcp", "name_en": "davidmosiah/google-health-mcp", "desc": "Local-first access to the Google Health API for Fitbit and Pixel Watch activity, sleep, heart, nutrition and reconciled health data.", "desc_en": "Local-first access to the Google Health API for Fitbit and Pixel Watch activity, sleep, heart, nutrition and reconciled health data.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/davidmosiah/google-health-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/davidmosiah/google-health-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-crindo2-gph-mcp-server", "name": "Crindo2/gph-mcp-server", "name_en": "Crindo2/gph-mcp-server", "desc": "Match US medical practices with healthcare service vendors for billing, credentialing, EHR, compliance and legal.", "desc_en": "Match US medical practices with healthcare service vendors for billing, credentialing, EHR, compliance and legal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Crindo2/gph-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Crindo2/gph-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cafferychen777-chatspatial", "name": "cafferychen777/ChatSpatial", "name_en": "cafferychen777/ChatSpatial", "desc": "Spatial transcriptomics analysis: cell annotation, deconvolution, spatial statistics and visualization.", "desc_en": "Spatial transcriptomics analysis: cell annotation, deconvolution, spatial statistics and visualization.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cafferychen777/ChatSpatial", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cafferychen777/ChatSpatial", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ammawla-encode-toolkit", "name": "ammawla/encode-toolkit", "name_en": "ammawla/encode-toolkit", "desc": "Search, download, track and analyze functional genomics experiments from the ENCODE Project.", "desc_en": "Search, download, track and analyze functional genomics experiments from the ENCODE Project.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ammawla/encode-toolkit", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ammawla/encode-toolkit", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ajibadedapo-flowproof-mcp", "name": "ajibadedapo/flowproof-mcp", "name_en": "ajibadedapo/flowproof-mcp", "desc": "Run reproducible Nextflow bioinformatics pipelines with verifiable Workflow Run RO-Crate provenance: container digests, tool versions and checksums.", "desc_en": "Run reproducible Nextflow bioinformatics pipelines with verifiable Workflow Run RO-Crate provenance: container digests, tool versions and checksums.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ajibadedapo/flowproof-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ajibadedapo/flowproof-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-firecrawl-firecrawl-mcp-server", "name": "firecrawl/firecrawl-mcp-server", "name_en": "firecrawl/firecrawl-mcp-server", "desc": "Firecrawl web scraping: search, scrape, crawl, map and extract structured data, with live browser interaction and website change monitoring.", "desc_en": "Firecrawl web scraping: search, scrape, crawl, map and extract structured data, with live browser interaction and website change monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/firecrawl/firecrawl-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/firecrawl/firecrawl-mcp-server", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.763Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-luvi-io-luw-mcp", "name": "Luvi-io/luw-mcp", "name_en": "Luvi-io/luw-mcp", "desc": "Official Luw.ai server: redesign rooms, building exteriors and gardens from photos, render sketches and CAD views, edit images, and create walkthrough videos and 3D models. Runs locally via npx or hosted at mcp.luw.ai with sign-in.", "desc_en": "Official Luw.ai server: redesign rooms, building exteriors and gardens from photos, render sketches and CAD views, edit images, and create walkthrough videos and 3D models. Runs locally via npx or hosted at mcp.luw.ai with sign-in.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Luvi-io/luw-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Luvi-io/luw-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-hackeatutiempo-mapache", "name": "Hackeatutiempo/mapache", "name_en": "Hackeatutiempo/mapache", "desc": "Open-source mind maps and whiteboard your agent draws on live: 22 tools for mind maps, notes, shapes, tables, charts, connectors, comments and HTML/PDF export; boards are local files.", "desc_en": "Open-source mind maps and whiteboard your agent draws on live: 22 tools for mind maps, notes, shapes, tables, charts, connectors, comments and HTML/PDF export; boards are local files.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Hackeatutiempo/mapache", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Hackeatutiempo/mapache", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-dayuanjiang-next-ai-draw-io-tree-main-packages-mcp-server", "name": "DayuanJiang/next-ai-draw-io", "name_en": "DayuanJiang/next-ai-draw-io", "desc": "Draw and edit draw.io diagrams from your project's files on a live browser canvas you can also edit by hand, with version history, undo, AWS, Azure and GCP shape libraries and PNG or SVG export.", "desc_en": "Draw and edit draw.io diagrams from your project's files on a live browser canvas you can also edit by hand, with version history, undo, AWS, Azure and GCP shape libraries and PNG or SVG export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-canvaskeep-canvaskeep-mcp", "name": "CanvasKeep/canvaskeep-mcp", "name_en": "CanvasKeep/canvaskeep-mcp", "desc": "Create and edit Excalidraw diagrams in a CanvasKeep workspace: generate diagrams from nodes and edges with auto-layout, organize them into folders, and read or save full scenes, with local decryption for encrypted diagrams.", "desc_en": "Create and edit Excalidraw diagrams in a CanvasKeep workspace: generate diagrams from nodes and edges with auto-layout, organize them into folders, and read or save full scenes, with local decryption for encrypted diagrams.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/CanvasKeep/canvaskeep-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/CanvasKeep/canvaskeep-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-xxx91n-mcp-for-maya", "name": "Xxx91n/mcp-for-maya", "name_en": "Xxx91n/mcp-for-maya", "desc": "MCP server giving AI agents spatial awareness inside Autodesk Maya — scene inspection, deterministic audit, checkpoint/rollback transactional safety, screenshot-based visual verification (Beta).", "desc_en": "MCP server giving AI agents spatial awareness inside Autodesk Maya — scene inspection, deterministic audit, checkpoint/rollback transactional safety, screenshot-based visual verification (Beta).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Xxx91n/mcp-for-maya", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Xxx91n/mcp-for-maya", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-hjbaard-solidworks-mcp", "name": "hjbaard/SolidWorks-MCP", "name_en": "hjbaard/SolidWorks-MCP", "desc": "Drive a running SolidWorks from an agent over COM: 86 tools for parametric parts and assemblies (extrude, revolve, sweep, loft, holes on any face, ribs, fillets, shells, patterns, mates, joints checked over their range, interference checks, STEP/STL export). Every modelling call returns measured volume and bounding box, so the agent can verify its own work.", "desc_en": "Drive a running SolidWorks from an agent over COM: 86 tools for parametric parts and assemblies (extrude, revolve, sweep, loft, holes on any face, ribs, fillets, shells, patterns, mates, joints checked over their range, interference checks, STEP/STL export). Every modelling call returns measured volume and bounding box, so the agent can verify its own work.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hjbaard/SolidWorks-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hjbaard/SolidWorks-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-venut-technologies-serato-dj-mcp", "name": "Venut-Technologies/serato-dj-mcp", "name_en": "Venut-Technologies/serato-dj-mcp", "desc": "Ask an AI assistant about your Serato DJ library: harmonic BPM and Camelot key search, crates, duplicate and missing-file audits, and new crates built with a preview before anything is written. Unofficial.", "desc_en": "Ask an AI assistant about your Serato DJ library: harmonic BPM and Camelot key search, crates, duplicate and missing-file audits, and new crates built with a preview before anything is written. Unofficial.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Venut-Technologies/serato-dj-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Venut-Technologies/serato-dj-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-prida-takon-debim", "name": "PRIDA-TAKON/debim", "name_en": "PRIDA-TAKON/debim", "desc": "Declarative BIM / Building-as-Code engine: model buildings in YAML, compute deterministic QTO/cost estimations, compile to IFC4, and view interactive 3D WebGL models.", "desc_en": "Declarative BIM / Building-as-Code engine: model buildings in YAML, compute deterministic QTO/cost estimations, compile to IFC4, and view interactive 3D WebGL models.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PRIDA-TAKON/debim", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PRIDA-TAKON/debim", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-patrickchugh-terravision", "name": "patrickchugh/terravision", "name_en": "patrickchugh/terravision", "desc": "Draw cloud architecture diagrams with the official AWS, Azure and GCP icons from a plain description, a JSON graph or Terraform code, with VPC, subnet and zone grouping. PNG, SVG and editable draw.io output.", "desc_en": "Draw cloud architecture diagrams with the official AWS, Azure and GCP icons from a plain description, a JSON graph or Terraform code, with VPC, subnet and zone grouping. PNG, SVG and editable draw.io output.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/patrickchugh/terravision", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/patrickchugh/terravision", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-docsor1212-aesthete-agent", "name": "docsor1212/aesthete-agent", "name_en": "docsor1212/aesthete-agent", "desc": "Mechanically validated frontend aesthetics for coding agents: an evidence-ranked palette library, OKLCH harmony generation, WCAG 2.2 + APCA contrast gates, color-blind simulation and AI-slop detection; installable as an agent skill or MCP server via uvx.", "desc_en": "Mechanically validated frontend aesthetics for coding agents: an evidence-ranked palette library, OKLCH harmony generation, WCAG 2.2 + APCA contrast gates, color-blind simulation and AI-slop detection; installable as an agent skill or MCP server via uvx.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/docsor1212/aesthete-agent", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/docsor1212/aesthete-agent", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-ntworm-ableton-mcp-server", "name": "ntworm/ableton-mcp-server", "name_en": "ntworm/ableton-mcp-server", "desc": "Inspect and automate Ableton Live locally through a Python MIDI Remote Script, with MIDI editing, device control, audio analysis and groove tools.", "desc_en": "Inspect and automate Ableton Live locally through a Python MIDI Remote Script, with MIDI editing, device control, audio analysis and groove tools.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ntworm/ableton-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ntworm/ableton-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-swebsy-mcp", "name": "swebsy/MCP", "name_en": "swebsy/MCP", "desc": "Build and edit real websites from the coding agent you already pay for — no per-token AI fees. Browse the template catalogue, create and open a site, rewrite sections, add and link pages, insert blocks, keep reusable symbols in sync, screenshot any viewport, and export static HTML/CSS/JS. Drives an open Swebsy Studio tab over a local `127.0.0.1` WebSocket relay; nothing is proxied through our servers and Studio redacts secrets before anything crosses the bridge. Install via NPM: `npx -y @swebsy/mcp setup`", "desc_en": "Build and edit real websites from the coding agent you already pay for — no per-token AI fees. Browse the template catalogue, create and open a site, rewrite sections, add and link pages, insert blocks, keep reusable symbols in sync, screenshot any viewport, and export static HTML/CSS/JS. Drives an open Swebsy Studio tab over a local `127.0.0.1` WebSocket relay; nothing is proxied through our servers and Studio redacts secrets before anything crosses the bridge. Install via NPM: `npx -y @swebsy/mcp setup`", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/swebsy/MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/swebsy/MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 12 }, { "id": "mcp-aetumiapp-aetumi-mcp", "name": "AETumiApp/aetumi-mcp", "name_en": "AETumiApp/aetumi-mcp", "desc": "AETumi MCP — gateway for AI coding assistants (Claude Code, Cursor, Codex) to production-ready Three.js/WebGL 3D web components, templates and interactive scenes.", "desc_en": "AETumi MCP — gateway for AI coding assistants (Claude Code, Cursor, Codex) to production-ready Three.js/WebGL 3D web components, templates and interactive scenes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AETumiApp/aetumi-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AETumiApp/aetumi-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-tommkruix-archprint", "name": "Tommkruix/archprint", "name_en": "Tommkruix/archprint", "desc": "Report the architecture rules a TypeScript repo already follows, inferred from its import graph, with the evidence for each, and check whether a change breaks them.", "desc_en": "Report the architecture rules a TypeScript repo already follows, inferred from its import graph, with the evidence for each, and check whether a change breaks them.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Tommkruix/archprint", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Tommkruix/archprint", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-kenzolika-yandex-music-mcp", "name": "kenzolika/yandex-music-mcp", "name_en": "kenzolika/yandex-music-mcp", "desc": "Unofficial Yandex Music server: search, likes, listening history, My Wave, similar tracks, public playlists by link, playlist management and export of your library to TXT/CSV.", "desc_en": "Unofficial Yandex Music server: search, likes, listening history, My Wave, similar tracks, public playlists by link, playlist management and export of your library to TXT/CSV.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kenzolika/yandex-music-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kenzolika/yandex-music-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-gatyh-3dtexel-mcp", "name": "Gatyh/3dtexel-mcp", "name_en": "Gatyh/3dtexel-mcp", "desc": "Official 3D Texel server: search and download 7,000+ PBR materials, HDRIs, decals and 3D assets (1,600+ free CC0) and generate seamless PBR materials and HDRI skyboxes with credits.", "desc_en": "Official 3D Texel server: search and download 7,000+ PBR materials, HDRIs, decals and 3D assets (1,600+ free CC0) and generate seamless PBR materials and HDRI skyboxes with credits.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Gatyh/3dtexel-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Gatyh/3dtexel-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-effectustasi-autodesk-inventor-mcp", "name": "effectustasi/autodesk-inventor-mcp", "name_en": "effectustasi/autodesk-inventor-mcp", "desc": "Connect AI assistants to a live Autodesk Inventor session over COM: inspect bodies and features, find sliver faces in imported models, dry-run Unwrap, and script the Inventor API.", "desc_en": "Connect AI assistants to a live Autodesk Inventor session over COM: inspect bodies and features, find sliver faces in imported models, dry-run Unwrap, and script the Inventor API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/effectustasi/autodesk-inventor-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/effectustasi/autodesk-inventor-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-yenchieh-diagramzu-mcp", "name": "yenchieh/diagramzu-mcp", "name_en": "yenchieh/diagramzu-mcp", "desc": "Create Mermaid diagrams in a shared workspace, with version history, comments, embedding, presentation decks and diagram linting.", "desc_en": "Create Mermaid diagrams in a shared workspace, with version history, comments, embedding, presentation decks and diagram linting.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/yenchieh/diagramzu-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yenchieh/diagramzu-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-uxloom-dev-uxloom", "name": "uxloom-dev/uxloom", "name_en": "uxloom-dev/uxloom", "desc": "UI/UX validation: model user journeys as state machines, find missing states, contrast and touch-target issues, and verify code against the design contract.", "desc_en": "UI/UX validation: model user journeys as state machines, find missing states, contrast and touch-target issues, and verify code against the design contract.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/uxloom-dev/uxloom", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/uxloom-dev/uxloom", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tomyangod-architecture_viewer", "name": "tomyangod/architecture_viewer", "name_en": "tomyangod/architecture_viewer", "desc": "Local architecture gate and CLI that diffs AI edits against git HEAD to detect new cross-layer dependencies and structural changes.", "desc_en": "Local architecture gate and CLI that diffs AI edits against git HEAD to detect new cross-layer dependencies and structural changes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tomyangod/architecture_viewer", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tomyangod/architecture_viewer", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-roberton003-mcp-server-decisions", "name": "Roberton003/mcp-server-decisions", "name_en": "Roberton003/mcp-server-decisions", "desc": "Architectural decision tracking with testable predictions and outcome gates, stored in append-only JSONL.", "desc_en": "Architectural decision tracking with testable predictions and outcome gates, stored in append-only JSONL.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Roberton003/mcp-server-decisions", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Roberton003/mcp-server-decisions", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rnvizion-rnv-color-mcp", "name": "RNVizion/rnv-color-mcp", "name_en": "RNVizion/rnv-color-mcp", "desc": "Mix colors (including Kubelka-Munk paint physics), convert formats, generate harmonies and save named palettes, resolving hex, CSS and brand color names.", "desc_en": "Mix colors (including Kubelka-Munk paint physics), convert formats, generate harmonies and save named palettes, resolving hex, CSS and brand color names.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/RNVizion/rnv-color-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/RNVizion/rnv-color-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-redhold-diagrams-mcp-app-core", "name": "RedHold/diagrams-mcp-app-core", "name_en": "RedHold/diagrams-mcp-app-core", "desc": "Generate and edit draw.io cloud architecture diagrams from prompts, Terraform or Kubernetes manifests, fix Well-Architected warnings and export to SVG.", "desc_en": "Generate and edit draw.io cloud architecture diagrams from prompts, Terraform or Kubernetes manifests, fix Well-Architected warnings and export to SVG.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/RedHold/diagrams-mcp-app-core", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/RedHold/diagrams-mcp-app-core", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rdanieli-tentra-mcp", "name": "rdanieli/tentra-mcp", "name_en": "rdanieli/tentra-mcp", "desc": "Describe systems in natural language to get interactive architecture diagrams, export to frameworks like Spring Boot, FastAPI and Terraform, and detect drift.", "desc_en": "Describe systems in natural language to get interactive architecture diagrams, export to frameworks like Spring Boot, FastAPI and Terraform, and detect drift.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rdanieli/tentra-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rdanieli/tentra-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-posecode-dev-posecode", "name": "posecode-dev/posecode", "name_en": "posecode-dev/posecode", "desc": "Text language for human movement that LLMs can write, rendered as an anatomically constrained 3D human figure in the browser.", "desc_en": "Text language for human movement that LLMs can write, rendered as an anatomically constrained 3D human figure in the browser.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/posecode-dev/posecode", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/posecode-dev/posecode", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-odd-innocent-den_archi_mcp", "name": "odd-Innocent/den_archi_mcp", "name_en": "odd-Innocent/den_archi_mcp", "desc": "Korean architecture, engineering and construction knowledge: KDS, KCS and KS standards, statutes and expertise in one graph, with answers citing clauses.", "desc_en": "Korean architecture, engineering and construction knowledge: KDS, KCS and KS standards, statutes and expertise in one graph, with answers citing clauses.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/odd-Innocent/den_archi_mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/odd-Innocent/den_archi_mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ng-galien-maket", "name": "ng-galien/maket", "name_en": "ng-galien/maket", "desc": "Local-first design workspace: compose wireframes and branded multi-page HTML/CSS docs with live preview, brand and asset libraries, validation and PDF export.", "desc_en": "Local-first design workspace: compose wireframes and branded multi-page HTML/CSS docs with live preview, brand and asset libraries, validation and PDF export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ng-galien/maket", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ng-galien/maket", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-narasimhaponnada-mermaid-mcp", "name": "Narasimhaponnada/mermaid-mcp", "name_en": "Narasimhaponnada/mermaid-mcp", "desc": "Mermaid diagram generation (flowcharts, sequence, class, ER, architecture and state diagrams) with templates, layout engines and SVG/PNG/PDF export.", "desc_en": "Mermaid diagram generation (flowcharts, sequence, class, ER, architecture and state diagrams) with templates, layout engines and SVG/PNG/PDF export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Narasimhaponnada/mermaid-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Narasimhaponnada/mermaid-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kentucky-ai-opentakeoff", "name": "Kentucky-ai/opentakeoff", "name_en": "Kentucky-ai/opentakeoff", "desc": "Construction plan takeoff: load plan PDFs, read title blocks, set drawing scale, trace rooms and export quantities like square footage and linear feet.", "desc_en": "Construction plan takeoff: load plan PDFs, read title blocks, set drawing scale, trace rooms and export quantities like square footage and linear feet.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Kentucky-ai/opentakeoff", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Kentucky-ai/opentakeoff", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kasayodotcom-identityforge-mcp", "name": "KasayoDotCom/identityforge-mcp", "name_en": "KasayoDotCom/identityforge-mcp", "desc": "Design kits and brand workflows: browse and apply design systems, create shareable brand projects, and research names, domains and EUIPO trademarks.", "desc_en": "Design kits and brand workflows: browse and apply design systems, create shareable brand projects, and research names, domains and EUIPO trademarks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/KasayoDotCom/identityforge-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/KasayoDotCom/identityforge-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-karyaboyraz-mockit-mcp", "name": "karyaboyraz/mockit-mcp", "name_en": "karyaboyraz/mockit-mcp", "desc": "Generate iOS UI mockups as PNG and HTML from a text prompt, using Claude and a headless Playwright renderer.", "desc_en": "Generate iOS UI mockups as PNG and HTML from a text prompt, using Claude and a headless Playwright renderer.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/karyaboyraz/mockit-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/karyaboyraz/mockit-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-jgsystemsconsulting-jgs-magic-sysmlv1-mcp", "name": "jgsystemsconsulting/jgs-magic-sysmlv1-mcp", "name_en": "jgsystemsconsulting/jgs-magic-sysmlv1-mcp", "desc": "Bridge to live SysML v1 models in CATIA Magic: query, audit, trace and edit blocks, requirements, allocations and diagrams over a local, air-gapped connection.", "desc_en": "Bridge to live SysML v1 models in CATIA Magic: query, audit, trace and edit blocks, requirements, allocations and diagrams over a local, air-gapped connection.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jgsystemsconsulting/jgs-magic-sysmlv1-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jgsystemsconsulting/jgs-magic-sysmlv1-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-imgly-codesign", "name": "imgly/codesign", "name_en": "imgly/codesign", "desc": "Local design engine: create, edit and export branded social posts, flyers, decks and business cards, with print-ready PDFs and InDesign, PSD and PDF import.", "desc_en": "Local design engine: create, edit and export branded social posts, flyers, decks and business cards, with print-ready PDFs and InDesign, PSD and PDF import.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/imgly/codesign", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/imgly/codesign", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-halidsaglam-saglitzdesign-mcp", "name": "HalidSaglam/saglitzdesign-mcp", "name_en": "HalidSaglam/saglitzdesign-mcp", "desc": "Offline UI/UX design and marketing guidance for web, iOS, Android and macOS, plus generators for design tokens, color systems, type scales and WCAG checks.", "desc_en": "Offline UI/UX design and marketing guidance for web, iOS, Android and macOS, plus generators for design tokens, color systems, type scales and WCAG checks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/HalidSaglam/saglitzdesign-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/HalidSaglam/saglitzdesign-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gittyburstein-mermaid-mcp-server", "name": "GittyBurstein/mermaid-mcp-server", "name_en": "GittyBurstein/mermaid-mcp-server", "desc": "Turn local projects or GitHub repositories into Mermaid diagrams rendered via Kroki.", "desc_en": "Turn local projects or GitHub repositories into Mermaid diagrams rendered via Kroki.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GittyBurstein/mermaid-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GittyBurstein/mermaid-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-flowzap-xyz-flowzap-mcp", "name": "flowzap-xyz/flowzap-mcp", "name_en": "flowzap-xyz/flowzap-mcp", "desc": "Create workflow, sequence and architecture diagrams with the FlowZap Code DSL, with validation, playground links, syntax docs, export, diffing and patching.", "desc_en": "Create workflow, sequence and architecture diagrams with the FlowZap Code DSL, with validation, playground links, syntax docs, export, diffing and patching.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/flowzap-xyz/flowzap-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/flowzap-xyz/flowzap-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-erajasekar-ai-diagram-maker-mcp", "name": "erajasekar/ai-diagram-maker-mcp", "name_en": "erajasekar/ai-diagram-maker-mcp", "desc": "AI Diagram Maker: generate flowcharts, sequence diagrams, ERDs, architecture, UML and mind maps from text, code, ASCII, images or Mermaid, rendered inline.", "desc_en": "AI Diagram Maker: generate flowcharts, sequence diagrams, ERDs, architecture, UML and mind maps from text, code, ASCII, images or Mermaid, rendered inline.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/erajasekar/ai-diagram-maker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/erajasekar/ai-diagram-maker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ejwhite7-brandkit-mcp", "name": "ejwhite7/brandkit-mcp", "name_en": "ejwhite7/brandkit-mcp", "desc": "Expose a company's design system (colors, typography, logos, components, guidelines, CSS tokens) to AI tools, parsed from CSS, Markdown, PDF, SVG and fonts.", "desc_en": "Expose a company's design system (colors, typography, logos, components, guidelines, CSS tokens) to AI tools, parsed from CSS, Markdown, PDF, SVG and fonts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ejwhite7/brandkit-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ejwhite7/brandkit-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-daksh-create349-contradiction-mcp", "name": "Daksh-create349/Contradiction-MCP", "name_en": "Daksh-create349/Contradiction-MCP", "desc": "Detect contradictions and architectural drift in Kubernetes manifests, READMEs, OpenAPI specs and Word docs, with deterministic scoring and resolution advice.", "desc_en": "Detect contradictions and architectural drift in Kubernetes manifests, READMEs, OpenAPI specs and Word docs, with deterministic scoring and resolution advice.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Daksh-create349/Contradiction-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Daksh-create349/Contradiction-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cisco-open-network-sketcher", "name": "cisco-open/network-sketcher", "name_en": "cisco-open/network-sketcher", "desc": "Local-first network design: create Cisco-style network master files, L1/L2/L3 topology diagrams, HTML viewers, device tables and AI context files.", "desc_en": "Local-first network design: create Cisco-style network master files, L1/L2/L3 topology diagrams, HTML viewers, device tables and AI context files.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cisco-open/network-sketcher", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cisco-open/network-sketcher", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bv-venky-excalidraw-architect-mcp", "name": "BV-Venky/excalidraw-architect-mcp", "name_en": "BV-Venky/excalidraw-architect-mcp", "desc": "Generate Excalidraw architecture diagrams with auto-layout, technology-aware component styling (databases, queues, caches) and stateful editing.", "desc_en": "Generate Excalidraw architecture diagrams with auto-layout, technology-aware component styling (databases, queues, caches) and stateful editing.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BV-Venky/excalidraw-architect-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BV-Venky/excalidraw-architect-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-builditwithgk-repo-cartographer", "name": "builditwithgk/repo-cartographer", "name_en": "builditwithgk/repo-cartographer", "desc": "Turn a repo into Mermaid or Graphviz architecture diagrams from its file tree, import graph and entry points; also enforces architecture rules in CI.", "desc_en": "Turn a repo into Mermaid or Graphviz architecture diagrams from its file tree, import graph and entry points; also enforces architecture rules in CI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/builditwithgk/repo-cartographer", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/builditwithgk/repo-cartographer", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bobaba99-motionlint", "name": "bobaba99/motionlint", "name_en": "bobaba99/motionlint", "desc": "Lint web animations with deterministic checks on the live page (duration, easing, stagger, exits, reduced motion, hover) plus optional vision-LLM UX review.", "desc_en": "Lint web animations with deterministic checks on the live page (duration, easing, stagger, exits, reduced motion, hover) plus optional vision-LLM UX review.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bobaba99/motionlint", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bobaba99/motionlint", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-awdr74100-figwright", "name": "awdr74100/figwright", "name_en": "awdr74100/figwright", "desc": "Bidirectional Figma bridge: turn selections into framework-aware code reusing your components and tokens, or create frames, text, styles, variables and screens.", "desc_en": "Bidirectional Figma bridge: turn selections into framework-aware code reusing your components and tokens, or create frames, text, styles, variables and screens.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/awdr74100/figwright", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/awdr74100/figwright", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ant-dev-lab-nightmarquee-mcp", "name": "ant-dev-lab/nightmarquee-mcp", "name_en": "ant-dev-lab/nightmarquee-mcp", "desc": "Art-directed website prompts as slash commands for hero sections, landing pages, SaaS, portfolios, e-commerce and 3D/WebGL scenes, each with a live demo.", "desc_en": "Art-directed website prompts as slash commands for hero sections, landing pages, SaaS, portfolios, e-commerce and 3D/WebGL scenes, each with a live demo.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ant-dev-lab/nightmarquee-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ant-dev-lab/nightmarquee-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aidc2026ai-melon-aidc-ai-mcp", "name": "aidc2026ai-melon/aidc-ai-mcp", "name_en": "aidc2026ai-melon/aidc-ai-mcp", "desc": "Deterministic AI data-center design for Korea (NVIDIA Rubin era, 22.9 kV intake): rack count, PUE, total MVA, cooling split, CDU planning, cost and timeline.", "desc_en": "Deterministic AI data-center design for Korea (NVIDIA Rubin era, 22.9 kV intake): rack count, PUE, total MVA, cooling split, CDU planning, cost and timeline.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aidc2026ai-melon/aidc-ai-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aidc2026ai-melon/aidc-ai-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smeet666-mcp-bideetmusique", "name": "smeet666/mcp-bideetmusique", "name_en": "smeet666/mcp-bideetmusique", "desc": "Search Bide & Musique's hand-catalogued collection of forgotten French songs by performer, title, writer, lyrics, label or year, and read full records.", "desc_en": "Search Bide & Musique's hand-catalogued collection of forgotten French songs by performer, title, writer, lyrics, label or year, and read full records.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smeet666/mcp-bideetmusique", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smeet666/mcp-bideetmusique", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-yuna0x0-anilist-mcp", "name": "yuna0x0/anilist-mcp", "name_en": "yuna0x0/anilist-mcp", "desc": "Anime and manga information from the AniList API.", "desc_en": "Anime and manga information from the AniList API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/yuna0x0/anilist-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yuna0x0/anilist-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-yuluo688-gen-image-mcp", "name": "yuluo688/gen-image-mcp", "name_en": "yuluo688/gen-image-mcp", "desc": "Generate and edit images via your own OpenAI-compatible or Gemini image APIs and save them into the project directory, with optional model fallback.", "desc_en": "Generate and edit images via your own OpenAI-compatible or Gemini image APIs and save them into the project directory, with optional model fallback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/yuluo688/gen-image-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yuluo688/gen-image-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-yonlandwu-chinese-almanac-mcp", "name": "yonlandwu/chinese-almanac-mcp", "name_en": "yonlandwu/chinese-almanac-mcp", "desc": "Chinese almanac (Tung Shing): daily readings, hour-pillar luck ratings, NASA JPL-based solar terms, auspicious dates, zodiac horoscopes and lucky hours.", "desc_en": "Chinese almanac (Tung Shing): daily readings, hour-pillar luck ratings, NASA JPL-based solar terms, auspicious dates, zodiac horoscopes and lucky hours.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/yonlandwu/chinese-almanac-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yonlandwu/chinese-almanac-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-xavierfabregat-spotify-mcp", "name": "XavierFabregat/spotify-mcp", "name_en": "XavierFabregat/spotify-mcp", "desc": "Conversational Spotify control: play by description and manage the queue, devices, playlists and library, with a guided setup wizard.", "desc_en": "Conversational Spotify control: play by description and manage the queue, devices, playlists and library, with a guided setup wizard.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/XavierFabregat/spotify-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/XavierFabregat/spotify-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wretcher207-reaper-daemon", "name": "wretcher207/reaper-daemon", "name_en": "wretcher207/reaper-daemon", "desc": "Drive the REAPER DAW over a local file bridge: read plugins and parameters, set FX values, write automation and measure mix changes, all inside undo blocks.", "desc_en": "Drive the REAPER DAW over a local file bridge: read plugins and parameters, set FX values, write automation and measure mix changes, all inside undo blocks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/wretcher207/reaper-daemon", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/wretcher207/reaper-daemon", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-vicseeai-vicsee-mcp-server", "name": "vicseeai/vicsee-mcp-server", "name_en": "vicseeai/vicsee-mcp-server", "desc": "Generate, edit and upscale AI video and images (Seedance, Veo, Kling, FLUX, Nano Banana) via VicSee.", "desc_en": "Generate, edit and upscale AI video and images (Seedance, Veo, Kling, FLUX, Nano Banana) via VicSee.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/vicseeai/vicsee-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/vicseeai/vicsee-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-umodeler-picoberry-mcp", "name": "UModeler/picoberry-mcp", "name_en": "UModeler/picoberry-mcp", "desc": "Generate 3D models and images from text or reference images, then remesh, retexture, auto-rig, animate and export GLB/FBX/OBJ via the PicoBerry API.", "desc_en": "Generate 3D models and images from text or reference images, then remesh, retexture, auto-rig, animate and export GLB/FBX/OBJ via the PicoBerry API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/UModeler/picoberry-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/UModeler/picoberry-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-twelvetake-studios-reaper-mcp", "name": "TwelveTake-Studios/reaper-mcp", "name_en": "TwelveTake-Studios/reaper-mcp", "desc": "Control the REAPER DAW for mixing, mastering, MIDI composition and music production.", "desc_en": "Control the REAPER DAW for mixing, mastering, MIDI composition and music production.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/TwelveTake-Studios/reaper-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/TwelveTake-Studios/reaper-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tobycai-image-mcp", "name": "TOBYCAI/image-mcp", "name_en": "TOBYCAI/image-mcp", "desc": "Offline image processing: resize, crop, convert, compress, rotate, flip, thumbnails, watermarks, effects, placeholders and overlays.", "desc_en": "Offline image processing: resize, crop, convert, compress, rotate, flip, thumbnails, watermarks, effects, placeholders and overlays.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/TOBYCAI/image-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/TOBYCAI/image-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tasopen-mcp-alphabanana", "name": "tasopen/mcp-alphabanana", "name_en": "tasopen/mcp-alphabanana", "desc": "Generate image assets with Google Gemini (Nano Banana 2 and Pro): transparent PNG/WebP, exact resizing and cropping, reference images and Search grounding.", "desc_en": "Generate image assets with Google Gemini (Nano Banana 2 and Pro): transparent PNG/WebP, exact resizing and cropping, reference images and Search grounding.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tasopen/mcp-alphabanana", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tasopen/mcp-alphabanana", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-speedwarnsf-scenef-mcp", "name": "speedwarnsf/scenef-mcp", "name_en": "speedwarnsf/scenef-mcp", "desc": "Read-only showtimes for California and Hawaii theaters, from repertory houses and 35mm/70mm screenings to chains, verified against each theater's calendar.", "desc_en": "Read-only showtimes for California and Hawaii theaters, from repertory houses and 35mm/70mm screenings to chains, verified against each theater's calendar.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/speedwarnsf/scenef-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/speedwarnsf/scenef-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smeet666-mcp-books", "name": "smeet666/mcp-books", "name_en": "smeet666/mcp-books", "desc": "Search the Internet Archive, the Library of Congress and the Bibliothèque nationale de France at once, across catalogues and inside scanned text.", "desc_en": "Search the Internet Archive, the Library of Congress and the Bibliothèque nationale de France at once, across catalogues and inside scanned text.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smeet666/mcp-books", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smeet666/mcp-books", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-slshults-shakespeare-monologues-mcp", "name": "slshults/shakespeare-monologues-mcp", "name_en": "slshults/shakespeare-monologues-mcp", "desc": "Search Shakespeare monologues by character, play or first line, and fetch full text, modern-English paraphrases and scene or play summaries.", "desc_en": "Search Shakespeare monologues by character, play or first line, and fetch full text, modern-English paraphrases and scene or play summaries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/slshults/shakespeare-monologues-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/slshults/shakespeare-monologues-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smeet666-mcp-imslp", "name": "smeet666/mcp-imslp", "name_en": "smeet666/mcp-imslp", "desc": "Read IMSLP, the Petrucci Music Library: search works and composers, view catalogue numbers, key and instrumentation, and browse editions with copyright status.", "desc_en": "Read IMSLP, the Petrucci Music Library: search works and composers, view catalogue numbers, key and instrumentation, and browse editions with copyright status.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smeet666/mcp-imslp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smeet666/mcp-imslp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smeet666-mcp-lrclib", "name": "smeet666/mcp-lrclib", "name_en": "smeet666/mcp-lrclib", "desc": "Search tracks on LRCLIB and read their lyrics, including time-synced LRC lines, with compact search results.", "desc_en": "Search tracks on LRCLIB and read their lyrics, including time-synced LRC lines, with compact search results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smeet666/mcp-lrclib", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smeet666/mcp-lrclib", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-shunshi-ai-bazi-reader-mcp", "name": "shunshi-ai/bazi-reader-mcp", "name_en": "shunshi-ai/bazi-reader-mcp", "desc": "Bazi (Four Pillars) charting with true solar time correction and output in Chinese, English, Japanese and Korean.", "desc_en": "Bazi (Four Pillars) charting with true solar time correction and output in Chinese, English, Japanese and Korean.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/shunshi-ai/bazi-reader-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/shunshi-ai/bazi-reader-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sharafutdinovdi-revit-model-mcp", "name": "sharafutdinovdi/revit-model-mcp", "name_en": "sharafutdinovdi/revit-model-mcp", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sharafutdinovdi/revit-model-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sharafutdinovdi/revit-model-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-samuelgursky-davinci-resolve-mcp", "name": "samuelgursky/davinci-resolve-mcp", "name_en": "samuelgursky/davinci-resolve-mcp", "desc": "DaVinci Resolve integration for video editing, color grading, media management and project control.", "desc_en": "DaVinci Resolve integration for video editing, color grading, media management and project control.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/samuelgursky/davinci-resolve-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/samuelgursky/davinci-resolve-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-runcomfy-com-runcomfy-mcp", "name": "runcomfy-com/runcomfy-mcp", "name_en": "runcomfy-com/runcomfy-mcp", "desc": "Manage RunComfy ComfyUI serverless deployments, hosted model inference and LoRA training jobs.", "desc_en": "Manage RunComfy ComfyUI serverless deployments, hosted model inference and LoRA training jobs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/runcomfy-com/runcomfy-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/runcomfy-com/runcomfy-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rosasynthesiz-flstudio-mcp", "name": "rosasynthesiz/flstudio-mcp", "name_en": "rosasynthesiz/flstudio-mcp", "desc": "Control FL Studio: in-DAW mixing (gain staging, EQ, compression, reverb, reference matching), routing and composition.", "desc_en": "Control FL Studio: in-DAW mixing (gain staging, EQ, compression, reverb, reference matching), routing and composition.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rosasynthesiz/flstudio-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rosasynthesiz/flstudio-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rekordcloud-sonovault-mcp", "name": "rekordcloud/sonovault-mcp", "name_en": "rekordcloud/sonovault-mcp", "desc": "Music metadata search over tracks, artists, labels and releases: genres, release dates, ISRC/ISWC codes and IDs for Spotify, Apple Music, Discogs and more.", "desc_en": "Music metadata search over tracks, artists, labels and releases: genres, release dates, ISRC/ISWC codes and IDs for Spotify, Apple Music, Discogs and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rekordcloud/sonovault-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rekordcloud/sonovault-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-raveenb-fal-mcp-server", "name": "raveenb/fal-mcp-server", "name_en": "raveenb/fal-mcp-server", "desc": "Generate images, videos and music with Fal.ai models such as FLUX, Stable Diffusion and MusicGen.", "desc_en": "Generate images, videos and music with Fal.ai models such as FLUX, Stable Diffusion and MusicGen.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/raveenb/fal-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/raveenb/fal-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-r-huijts-rijksmuseum-mcp", "name": "r-huijts/rijksmuseum-mcp", "name_en": "r-huijts/rijksmuseum-mcp", "desc": "Search artworks and get details and collections via the Rijksmuseum API.", "desc_en": "Search artworks and get details and collections via the Rijksmuseum API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/r-huijts/rijksmuseum-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/r-huijts/rijksmuseum-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-r-huijts-oorlogsbronnen-mcp", "name": "r-huijts/oorlogsbronnen-mcp", "name_en": "r-huijts/oorlogsbronnen-mcp", "desc": "Access historical WWII records, photographs and documents from the Netherlands (1940-1945) via the Oorlogsbronnen (War Sources) API.", "desc_en": "Access historical WWII records, photographs and documents from the Netherlands (1940-1945) via the Oorlogsbronnen (War Sources) API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/r-huijts/oorlogsbronnen-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/r-huijts/oorlogsbronnen-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-doctorm333-promptpilot-mcp-server", "name": "doctorm333/promptpilot-mcp-server", "name_en": "doctorm333/promptpilot-mcp-server", "desc": "Generate images, video and audio with models such as Flux, GPT-Image-1, Imagen 4, Grok, Seedance and ElevenLabs, with prompt presets and batch generation.", "desc_en": "Generate images, video and audio with models such as Flux, GPT-Image-1, Imagen 4, Grok, Seedance and ElevenLabs, with prompt presets and batch generation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/doctorm333/promptpilot-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/doctorm333/promptpilot-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-psalmustrack-lambdacad-mcp", "name": "Psalmustrack/lambdacad-mcp", "name_en": "Psalmustrack/lambdacad-mcp", "desc": "Drive BricsCAD on Linux via an AutoLISP bridge: 2D drafting with dimensions and hatches, 3D solids with booleans, generated drawing views and PDF export.", "desc_en": "Drive BricsCAD on Linux via an AutoLISP bridge: 2D drafting with dimensions and hatches, 3D solids with booleans, generated drawing views and PDF export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Psalmustrack/lambdacad-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Psalmustrack/lambdacad-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pzfreo-build123d-mcp", "name": "pzfreo/build123d-mcp", "name_en": "pzfreo/build123d-mcp", "desc": "Create, inspect and iterate on 3D geometry with build123d parametric CAD: render PNG/SVG views, measure geometry and export STEP/STL.", "desc_en": "Create, inspect and iterate on 3D geometry with build123d parametric CAD: render PNG/SVG views, measure geometry and export STEP/STL.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pzfreo/build123d-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pzfreo/build123d-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-patrickpalmer-mayamcp", "name": "PatrickPalmer/MayaMCP", "name_en": "PatrickPalmer/MayaMCP", "desc": "Connect AI assistants to Autodesk Maya.", "desc_en": "Connect AI assistants to Autodesk Maya.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PatrickPalmer/MayaMCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PatrickPalmer/MayaMCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pantani-tdmcp", "name": "Pantani/tdmcp", "name_en": "Pantani/tdmcp", "desc": "Describe a visual to build a playable TouchDesigner network: audio-reactive, generative, particle, 3D and feedback systems with live knobs and MIDI/OSC/DMX.", "desc_en": "Describe a visual to build a playable TouchDesigner network: audio-reactive, generative, particle, 3D and feedback systems with live knobs and MIDI/OSC/DMX.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Pantani/tdmcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Pantani/tdmcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pantani-ableton-mind", "name": "Pantani/ableton-mind", "name_en": "Pantani/ableton-mind", "desc": "Control Ableton Live through a local Remote Script bridge: inspect sets, create tracks, scenes and clips, load devices, apply music recipes and verify changes.", "desc_en": "Control Ableton Live through a local Remote Script bridge: inspect sets, create tracks, scenes and clips, load devices, apply music recipes and verify changes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Pantani/ableton-mind", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Pantani/ableton-mind", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-omni-mcp-isaac-sim-mcp", "name": "omni-mcp/isaac-sim-mcp", "name_en": "omni-mcp/isaac-sim-mcp", "desc": "Natural-language control of NVIDIA Isaac Sim, Isaac Lab, OpenUSD and more, via a server and an extension.", "desc_en": "Natural-language control of NVIDIA Isaac Sim, Isaac Lab, OpenUSD and more, via a server and an extension.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/omni-mcp/isaac-sim-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/omni-mcp/isaac-sim-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-octoeverywhere-mcp", "name": "OctoEverywhere/mcp", "name_en": "OctoEverywhere/mcp", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/OctoEverywhere/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/OctoEverywhere/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ni-c-calibreweb-mcp", "name": "ni-c/calibreweb-mcp", "name_en": "ni-c/calibreweb-mcp", "desc": "Read-only access to a self-hosted Calibre-Web or Calibre-Web Automated ebook library via OPDS: search, shelves, covers and per-format download links.", "desc_en": "Read-only access to a self-hosted Calibre-Web or Calibre-Web Automated ebook library via OPDS: search, shelves, covers and per-format download links.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ni-c/calibreweb-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ni-c/calibreweb-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-joshseane--nmlp-mcp", "name": "joshseane/-nmlp-mcp", "name_en": "joshseane/-nmlp-mcp", "desc": "First-edition book identification using points of issue, number-line decoding and publisher rules, plus New Mexico book-donation logistics.", "desc_en": "First-edition book identification using points of issue, number-line decoding and publisher rules, plus New Mexico book-donation logistics.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/joshseane/-nmlp-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/joshseane/-nmlp-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-noteboxd-mcp", "name": "noteboxd/mcp", "name_en": "noteboxd/mcp", "desc": "Query the Noteboxd fragrance encyclopedia for perfumes, notes, accords, brands, perfumers, reviews and charts.", "desc_en": "Query the Noteboxd fragrance encyclopedia for perfumes, notes, accords, brands, perfumers, reviews and charts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/noteboxd/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/noteboxd/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-molanojustin-smithsonian-mcp", "name": "molanojustin/smithsonian-mcp", "name_en": "molanojustin/smithsonian-mcp", "desc": "Access the Smithsonian Institution's Open Access collections.", "desc_en": "Access the Smithsonian Institution's Open Access collections.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/molanojustin/smithsonian-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/molanojustin/smithsonian-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mikan-atomoki-text-to-model", "name": "mikan-atomoki/text-to-model", "name_en": "mikan-atomoki/text-to-model", "desc": "Turn natural language into 3D models in Fusion 360, with CAD tools for sketches, extrudes, fillets and JIS standard parts.", "desc_en": "Turn natural language into 3D models in Fusion 360, with CAD tools for sketches, extrudes, fillets and JIS standard parts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mikan-atomoki/text-to-model", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mikan-atomoki/text-to-model", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mikechao-metmuseum-mcp", "name": "mikechao/metmuseum-mcp", "name_en": "mikechao/metmuseum-mcp", "desc": "Search and display artworks via the Metropolitan Museum of Art Collection API.", "desc_en": "Search and display artworks via the Metropolitan Museum of Art Collection API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mikechao/metmuseum-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mikechao/metmuseum-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-memebo-at-memeboat-mcp", "name": "memebo-at/memeboat-mcp", "name_en": "memebo-at/memeboat-mcp", "desc": "Create memes from memebo.at templates: search the catalog, caption a template and get a shareable meme link.", "desc_en": "Create memes from memebo.at templates: search the catalog, caption a template and get a shareable meme link.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/memebo-at/memeboat-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/memebo-at/memeboat-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-leonardoca1-aesthetics-wiki-mcp", "name": "leonardoca1/aesthetics-wiki-mcp", "name_en": "leonardoca1/aesthetics-wiki-mcp", "desc": "Search, read and discover visual aesthetics such as cottagecore, dark academia, Y2K and goblincore from the Aesthetics Wiki.", "desc_en": "Search, read and discover visual aesthetics such as cottagecore, dark academia, Y2K and goblincore from the Aesthetics Wiki.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/leonardoca1/aesthetics-wiki-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/leonardoca1/aesthetics-wiki-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-labelgrid-labelgrid-mcp", "name": "labelgrid/labelgrid-mcp", "name_en": "labelgrid/labelgrid-mcp", "desc": "Manage your LabelGrid music distribution catalog, releases, analytics and royalties.", "desc_en": "Manage your LabelGrid music distribution catalog, releases, analytics and royalties.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/labelgrid/labelgrid-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/labelgrid/labelgrid-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-khglynn-spotify-bulk-actions-mcp", "name": "khglynn/spotify-bulk-actions-mcp", "name_en": "khglynn/spotify-bulk-actions-mcp", "desc": "Bulk Spotify operations: confidence-scored song matching, batch playlist creation from CSV or podcast lists, and exports of your most-saved artists and albums.", "desc_en": "Bulk Spotify operations: confidence-scored song matching, batch playlist creation from CSV or podcast lists, and exports of your most-saved artists and albums.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/khglynn/spotify-bulk-actions-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/khglynn/spotify-bulk-actions-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-j-east-pixel-surgeon-mcp", "name": "j-east/pixel-surgeon-mcp", "name_en": "j-east/pixel-surgeon-mcp", "desc": "Image and video generation, editing and region repair via Gemini 3.1 Flash Image, GPT Image 2, Grok Imagine and Veo 3, with style presets.", "desc_en": "Image and video generation, editing and region repair via Gemini 3.1 Flash Image, GPT Image 2, Grok Imagine and Veo 3, with style presets.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/j-east/pixel-surgeon-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/j-east/pixel-surgeon-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-jau123-meigen-ai-design-mcp", "name": "jau123/MeiGen-AI-Design-MCP", "name_en": "jau123/MeiGen-AI-Design-MCP", "desc": "Image generation and editing with a curated prompt library, prompt enhancement and routing across local ComfyUI, MeiGen Cloud and OpenAI-compatible APIs.", "desc_en": "Image generation and editing with a curated prompt library, prompt enhancement and routing across local ComfyUI, MeiGen Cloud and OpenAI-compatible APIs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jau123/MeiGen-AI-Design-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jau123/MeiGen-AI-Design-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-hanshs474-kavel-mcp", "name": "hanshs474/kavel-mcp", "name_en": "hanshs474/kavel-mcp", "desc": "Discover Kavel's AI photo and video generators (hairstyles, figurines, pet portraits, yearbook photos, dance videos, HD restoration) and get tuned prompts.", "desc_en": "Discover Kavel's AI photo and video generators (hairstyles, figurines, pet portraits, yearbook photos, dance videos, HD restoration) and get tuned prompts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hanshs474/kavel-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hanshs474/kavel-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gupta-kush-spotify-mcp", "name": "gupta-kush/spotify-mcp", "name_en": "gupta-kush/spotify-mcp", "desc": "Spotify tools: smart shuffle, natural-language song search, vibe analysis, artist network mapping, taste evolution and playlist management.", "desc_en": "Spotify tools: smart shuffle, natural-language song search, vibe analysis, artist network mapping, taste evolution and playlist management.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gupta-kush/spotify-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gupta-kush/spotify-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gokimedia-tarot-mcp-server", "name": "gokimedia/tarot-mcp-server", "name_en": "gokimedia/tarot-mcp-server", "desc": "Tarot meanings for all 78 cards, upright and reversed interpretations, love and career readings, yes-or-no answers, random draws and three-card spreads.", "desc_en": "Tarot meanings for all 78 cards, upright and reversed interpretations, love and career readings, yes-or-no answers, random draws and three-card spreads.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gokimedia/tarot-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gokimedia/tarot-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-genwavellc-svgmaker-mcp", "name": "GenWaveLLC/svgmaker-mcp", "name_en": "GenWaveLLC/svgmaker-mcp", "desc": "Generate and edit SVGs via natural language, with real-time updates and secure file handling.", "desc_en": "Generate and edit SVGs via natural language, with real-time updates and secure file handling.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GenWaveLLC/svgmaker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GenWaveLLC/svgmaker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gchen19-ankusdrive", "name": "gchen19/AnkusDrive", "name_en": "gchen19/AnkusDrive", "desc": "Drive a local FreeCAD from an agent: parametric CAD, TechDraw drawings with GD&T, CalculiX FEM, and CFD, thermal, EM and multiphysics simulation.", "desc_en": "Drive a local FreeCAD from an agent: parametric CAD, TechDraw drawings with GD&T, CalculiX FEM, and CFD, thermal, EM and multiphysics simulation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gchen19/AnkusDrive", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gchen19/AnkusDrive", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gavxm-ani-mcp", "name": "gavxm/ani-mcp", "name_en": "gavxm/ani-mcp", "desc": "AniList integration with taste-aware recommendations, watch analytics, social tools and list management.", "desc_en": "AniList integration with taste-aware recommendations, watch analytics, social tools and list management.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gavxm/ani-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gavxm/ani-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-flamexnreal-davinci-resolve-ai-bridge-mcp", "name": "flamexnreal/davinci-resolve-ai-bridge-mcp", "name_en": "flamexnreal/davinci-resolve-ai-bridge-mcp", "desc": "Local bridge for DaVinci Resolve (Free and Studio): timeline inspection, zoom animation, color adjustments and duplicate-timeline review.", "desc_en": "Local bridge for DaVinci Resolve (Free and Studio): timeline inspection, zoom animation, color adjustments and duplicate-timeline review.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/flamexnreal/davinci-resolve-ai-bridge-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/flamexnreal/davinci-resolve-ai-bridge-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-fatenava-fatenava-mcp", "name": "fatenava/fatenava-mcp", "name_en": "fatenava/fatenava-mcp", "desc": "Destiny charting: BaZi, Zi Wei Dou Shu and Western astrology natal charts, with true solar time correction and Chinese, English, Japanese and Korean input.", "desc_en": "Destiny charting: BaZi, Zi Wei Dou Shu and Western astrology natal charts, with true solar time correction and Chinese, English, Japanese and Korean input.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/fatenava/fatenava-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/fatenava/fatenava-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-drakonkat-wizzy-mcp-tmdb", "name": "drakonkat/wizzy-mcp-tmdb", "name_en": "drakonkat/wizzy-mcp-tmdb", "desc": "Search and retrieve movie, TV show and person information from The Movie Database (TMDB) API.", "desc_en": "Search and retrieve movie, TV show and person information from The Movie Database (TMDB) API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/drakonkat/wizzy-mcp-tmdb", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/drakonkat/wizzy-mcp-tmdb", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.492Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-armulee-ai-gateway-mcp", "name": "Armulee/ai-gateway-mcp", "name_en": "Armulee/ai-gateway-mcp", "desc": "No-markup video, image and speech generation with 400+ Vercel AI Gateway models (Veo, Kling, Seedance, Nano Banana, GPT Image) inside Claude or ChatGPT, billed to your own Gateway credits at provider price. Self-hosted on your own Vercel account.", "desc_en": "No-markup video, image and speech generation with 400+ Vercel AI Gateway models (Veo, Kling, Seedance, Nano Banana, GPT Image) inside Claude or ChatGPT, billed to your own Gateway credits at provider price. Self-hosted on your own Vercel account.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Armulee/ai-gateway-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Armulee/ai-gateway-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-signdocsbrasil-signdocs-mcp-server", "name": "signdocsbrasil/signdocs-mcp-server", "name_en": "signdocsbrasil/signdocs-mcp-server", "desc": "Brazilian e-signature (SignDocs Brasil): create signing sessions and multi-signer envelopes, upload and download documents, verify signatures, and manage webhooks. ICP-Brasil digital certificates, facial biometrics and OTP, under MP 2.200-2. Local stdio via `npx -y @signdocs-brasil/mcp-server`, or the hosted HTTP endpoint.", "desc_en": "Brazilian e-signature (SignDocs Brasil): create signing sessions and multi-signer envelopes, upload and download documents, verify signatures, and manage webhooks. ICP-Brasil digital certificates, facial biometrics and OTP, under MP 2.200-2. Local stdio via `npx -y @signdocs-brasil/mcp-server`, or the hosted HTTP endpoint.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/signdocsbrasil/signdocs-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/signdocsbrasil/signdocs-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-mishan-shotbox", "name": "mishan/shotbox", "name_en": "mishan/shotbox", "desc": "Runs real GUI programs in a sealed X11 or Wayland session where an agent can read the accessible tree, take screenshots and clips with sound, click, type and drive gamepads, then check what it finds: unnamed controls, contrast, Tab order, screen reader announcements and audio dropouts.", "desc_en": "Runs real GUI programs in a sealed X11 or Wayland session where an agent can read the accessible tree, take screenshots and clips with sound, click, type and drive gamepads, then check what it finds: unnamed controls, contrast, Tab order, screen reader announcements and audio dropouts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mishan/shotbox", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mishan/shotbox", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-kim-dongho-krds-a11y-mcp", "name": "kim-dongho/krds-a11y-mcp", "name_en": "kim-dongho/krds-a11y-mcp", "desc": "Korea's government design system (KRDS) components with KWCAG 2.2 (Korean web accessibility standard) built in: refuses markup when labels or alt text are missing, checks rendered pages with axe plus real keyboard and contrast measurements, and ships Claude Code/Codex hooks that keep agents from finishing while violations remain.", "desc_en": "Korea's government design system (KRDS) components with KWCAG 2.2 (Korean web accessibility standard) built in: refuses markup when labels or alt text are missing, checks rendered pages with axe plus real keyboard and contrast measurements, and ships Claude Code/Codex hooks that keep agents from finishing while violations remain.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kim-dongho/krds-a11y-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kim-dongho/krds-a11y-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-griffmurder-taskbullet-mcp-server", "name": "GriffMurder/taskbullet-mcp-server", "name_en": "GriffMurder/taskbullet-mcp-server", "desc": "Delegate phone calls, captcha/2FA logins, errands and QA your agent can't finish to a real human assistant, then track results.", "desc_en": "Delegate phone calls, captcha/2FA logins, errands and QA your agent can't finish to a real human assistant, then track results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GriffMurder/taskbullet-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GriffMurder/taskbullet-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-cirwel-unitares", "name": "cirwel/unitares", "name_en": "cirwel/unitares", "desc": "Self-hosted, single-operator attributed record for multiple agents: identity and lineage, claims and evidence, agent review that keeps objections on file, and outcomes linked to the check-ins and predictions they grade.", "desc_en": "Self-hosted, single-operator attributed record for multiple agents: identity and lineage, claims and evidence, agent review that keeps objections on file, and outcomes linked to the check-ins and predictions they grade.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cirwel/unitares", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cirwel/unitares", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-strategiumfinancepartner-agentnexus", "name": "Strategiumfinancepartner/AgentNexus", "name_en": "Strategiumfinancepartner/AgentNexus", "desc": "Discovery and reliability registry of APIs, MCP servers and CLIs for AI agents: scheduled health probes, per-entry health cards with evidence expiry, free key in one call.", "desc_en": "Discovery and reliability registry of APIs, MCP servers and CLIs for AI agents: scheduled health probes, per-entry health cards with evidence expiry, free key in one call.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Strategiumfinancepartner/AgentNexus", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Strategiumfinancepartner/AgentNexus", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-dokanc-illugen-mcp", "name": "dokaNc/illugen-mcp", "name_en": "dokaNc/illugen-mcp", "desc": "Build, edit and render JangaFX IlluGen node graphs (procedural textures, VFX flipbooks): 157 node types, typed pin checks, curves, gradients, subgraphs, and invisible rendering through your own IlluGen.", "desc_en": "Build, edit and render JangaFX IlluGen node graphs (procedural textures, VFX flipbooks): 157 node types, typed pin checks, curves, gradients, subgraphs, and invisible rendering through your own IlluGen.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dokaNc/illugen-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dokaNc/illugen-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-jasmylab-janction-janction-render", "name": "JasmyLab-JANCTION/janction-render", "name_en": "JasmyLab-JANCTION/janction-render", "desc": "Render Blender scenes and 3D models (.blend, bpy scripts, GLB/glTF, FBX, USD, OBJ, STL) on cloud GPUs from AI agents: product shots, 360-degree turntables, animations and stills, with a tiled preview and a time estimate first. Remote MCP (OAuth) or stdio.", "desc_en": "Render Blender scenes and 3D models (.blend, bpy scripts, GLB/glTF, FBX, USD, OBJ, STL) on cloud GPUs from AI agents: product shots, 360-degree turntables, animations and stills, with a tiled preview and a time estimate first. Remote MCP (OAuth) or stdio.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/JasmyLab-JANCTION/janction-render", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/JasmyLab-JANCTION/janction-render", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-tbernabo-forbiz-mcp", "name": "tbernabo/forbiz-mcp", "name_en": "tbernabo/forbiz-mcp", "desc": "Forbiz, the CRM for AI agents: record commitments with the signal you expect back and by when, plus evidence and outcomes, so the next session or agent resumes the open commitment instead of duplicating it. Starts with no account; every write is attributed to the agent that made it.", "desc_en": "Forbiz, the CRM for AI agents: record commitments with the signal you expect back and by when, plus evidence and outcomes, so the next session or agent resumes the open commitment instead of duplicating it. Starts with no account; every write is attributed to the agent that made it.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tbernabo/forbiz-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tbernabo/forbiz-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-inamprotocol-inam-protocol-tree-main-mcp", "name": "inamprotocol/inam-protocol", "name_en": "inamprotocol/inam-protocol", "desc": "Look up AI agents' evidence-based reputation and record two-party signed work receipts, with operator-authorized verification and a Merkle transparency log.", "desc_en": "Look up AI agents' evidence-based reputation and record two-party signed work receipts, with operator-authorized verification and a Merkle transparency log.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/inamprotocol/inam-protocol/tree/main/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/inamprotocol/inam-protocol/tree/main/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-t3ratech-market-pulse-mcp", "name": "t3ratech/market-pulse-mcp", "name_en": "t3ratech/market-pulse-mcp", "desc": "Evidence-graded index of where AI agents can earn: agent-work lanes graded A/B/C/F from recorded payouts, should-I-bid advice, a hash-chained evidence ledger and live agent job listings. Read-only, free without a key.", "desc_en": "Evidence-graded index of where AI agents can earn: agent-work lanes graded A/B/C/F from recorded payouts, should-I-bid advice, a hash-chained evidence ledger and live agent job listings. Read-only, free without a key.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/t3ratech/market-pulse-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/t3ratech/market-pulse-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 18 }, { "id": "mcp-djalal-quran-mcp-server", "name": "djalal/quran-mcp-server", "name_en": "djalal/quran-mcp-server", "desc": "Interact with the Quran.com corpus via its REST API.", "desc_en": "Interact with the Quran.com corpus via its REST API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/djalal/quran-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/djalal/quran-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-diivi-aseprite-mcp", "name": "diivi/aseprite-mcp", "name_en": "diivi/aseprite-mcp", "desc": "Create pixel art using the Aseprite API.", "desc_en": "Create pixel art using the Aseprite API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/diivi/aseprite-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/diivi/aseprite-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-delmas41-gradusnotation", "name": "delmas41/gradusnotation", "name_en": "delmas41/gradusnotation", "desc": "Render music notation as SVG, MusicXML and MIDI from a JSON score, analyze MusicXML harmonically and search a music-theory knowledge base.", "desc_en": "Render music notation as SVG, MusicXML and MIDI from a JSON score, analyze MusicXML harmonically and search a music-theory knowledge base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/delmas41/gradusnotation", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/delmas41/gradusnotation", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-datacraftsmanau-vineverse-mcp", "name": "DataCraftsmanAU/vineverse-mcp", "name_en": "DataCraftsmanAU/vineverse-mcp", "desc": "The Bible as a knowledge graph of verses, people, places, topics and Hebrew lexemes: scripture search, interlinear lookup, cross references and genealogy.", "desc_en": "The Bible as a knowledge graph of verses, people, places, topics and Hebrew lexemes: scripture search, interlinear lookup, cross references and genealogy.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/DataCraftsmanAU/vineverse-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/DataCraftsmanAU/vineverse-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-clanker-records-crompton-network", "name": "clanker-records/crompton-network", "name_en": "clanker-records/crompton-network", "desc": "Machine-native listening platform for C.W.A.'s album Straight Outta Crompton, letting AI agents listen to it.", "desc_en": "Machine-native listening platform for C.W.A.'s album Straight Outta Crompton, letting AI agents listen to it.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/clanker-records/crompton-network", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/clanker-records/crompton-network", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cswkim-discogs-mcp-server", "name": "cswkim/discogs-mcp-server", "name_en": "cswkim/discogs-mcp-server", "desc": "Interact with the Discogs API.", "desc_en": "Interact with the Discogs API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cswkim/discogs-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cswkim/discogs-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-creativeclawco-creative-claw-marketplace", "name": "CreativeClawCo/creative-claw-marketplace", "name_en": "CreativeClawCo/creative-claw-marketplace", "desc": "Access media models such as Flux 2 Pro, Nano Banana Pro, GPT Image 2, Veo 3.1, Sora 2, Kling and ElevenLabs for image, video, speech, 3D and branded graphics.", "desc_en": "Access media models such as Flux 2 Pro, Nano Banana Pro, GPT Image 2, Veo 3.1, Sora 2, Kling and ElevenLabs for image, video, speech, 3D and branded graphics.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/CreativeClawCo/creative-claw-marketplace", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/CreativeClawCo/creative-claw-marketplace", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-constantineb6-comfy-pilot", "name": "ConstantineB6/comfy-pilot", "name_en": "ConstantineB6/comfy-pilot", "desc": "View, edit and run ComfyUI node-based image generation workflows, with an embedded terminal.", "desc_en": "View, edit and run ComfyUI node-based image generation workflows, with an embedded terminal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ConstantineB6/comfy-pilot", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ConstantineB6/comfy-pilot", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-codex-curator-studiomcphub", "name": "codex-curator/studiomcphub", "name_en": "codex-curator/studiomcphub", "desc": "Creative AI tools: image generation, upscaling, background removal, product mockups, CMYK conversion, print-ready PDFs, SVG vectorization and watermarking.", "desc_en": "Creative AI tools: image generation, upscaling, background removal, product mockups, CMYK conversion, print-ready PDFs, SVG vectorization and watermarking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/codex-curator/studiomcphub", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/codex-curator/studiomcphub", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cifero74-mcp-apple-music", "name": "Cifero74/mcp-apple-music", "name_en": "Cifero74/mcp-apple-music", "desc": "Apple Music integration: search the catalog, browse your library, manage playlists and get personalized recommendations.", "desc_en": "Apple Music integration: search the catalog, browse your library, manage playlists and get personalized recommendations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Cifero74/mcp-apple-music", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Cifero74/mcp-apple-music", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-forgemeshlabs-imagegen-mcp", "name": "forgemeshlabs/imagegen-mcp", "name_en": "forgemeshlabs/imagegen-mcp", "desc": "Image generation, background removal and 4x upscaling, paid per image via x402 in USDC on Base.", "desc_en": "Image generation, background removal and 4x upscaling, paid per image via x402 in USDC on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forgemeshlabs/imagegen-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forgemeshlabs/imagegen-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cfpramod-open-museum-mcp", "name": "cfpramod/open-museum-mcp", "name_en": "cfpramod/open-museum-mcp", "desc": "License-verified search across The Met, Cleveland, AIC, Wikimedia Commons and Europeana, limited to CC0 and public-domain works, with citations.", "desc_en": "License-verified search across The Met, Cleveland, AIC, Wikimedia Commons and Europeana, limited to CC0 and public-domain works, with citations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cfpramod/open-museum-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cfpramod/open-museum-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cantian-ai-bazi-mcp", "name": "cantian-ai/bazi-mcp", "name_en": "cantian-ai/bazi-mcp", "desc": "Bazi (Chinese astrology) charting and analysis.", "desc_en": "Bazi (Chinese astrology) charting and analysis.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cantian-ai/bazi-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cantian-ai/bazi-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-burningion-video-editing-mcp", "name": "burningion/video-editing-mcp", "name_en": "burningion/video-editing-mcp", "desc": "Add, analyze, search and generate video edits from your Video Jungle collection.", "desc_en": "Add, analyze, search and generate video edits from your Video Jungle collection.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/burningion/video-editing-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/burningion/video-editing-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bluesprince-thiri-mcp", "name": "BluesPrince/thiri-mcp", "name_en": "BluesPrince/thiri-mcp", "desc": "Deterministic music theory: chord and Roman numeral analysis, voicing and reharmonization.", "desc_en": "Deterministic music theory: chord and Roman numeral analysis, voicing and reharmonization.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BluesPrince/thiri-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BluesPrince/thiri-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-quokkapix-quokkapix-mcp", "name": "quokkapix/quokkapix-mcp", "name_en": "quokkapix/quokkapix-mcp", "desc": "Resize, compress, convert, remove backgrounds, strip metadata, watermark and export images locally through QuokkaPix, without uploading source images.", "desc_en": "Resize, compress, convert, remove backgrounds, strip metadata, watermark and export images locally through QuokkaPix, without uploading source images.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/quokkapix/quokkapix-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/quokkapix/quokkapix-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-krupalghori44-dev-infyicon-mcp", "name": "krupalghori44-dev/infyicon-mcp", "name_en": "krupalghori44-dev/infyicon-mcp", "desc": "Search hand-drawn Infyicon icons in four matching styles and fetch SVG markup or PNG URLs.", "desc_en": "Search hand-drawn Infyicon icons in four matching styles and fetch SVG markup or PNG URLs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/krupalghori44-dev/infyicon-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/krupalghori44-dev/infyicon-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-attalla1-photopea-mcp-server", "name": "attalla1/photopea-mcp-server", "name_en": "attalla1/photopea-mcp-server", "desc": "Image editing through Photopea: documents, layers, text, shapes, filters, effects and export.", "desc_en": "Image editing through Photopea: documents, layers, text, shapes, filters, effects and export.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/attalla1/photopea-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/attalla1/photopea-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-asmith26-jupytercad-mcp", "name": "asmith26/jupytercad-mcp", "name_en": "asmith26/jupytercad-mcp", "desc": "Control JupyterCAD using natural language.", "desc_en": "Control JupyterCAD using natural language.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/asmith26/jupytercad-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/asmith26/jupytercad-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-arturlys-ao3-mcp", "name": "ArturLys/ao3-mcp", "name_en": "ArturLys/ao3-mcp", "desc": "Search Archive of Our Own (AO3) and delegate full-fic reading to Gemini, so recommendations draw on the actual text rather than the blurb.", "desc_en": "Search Archive of Our Own (AO3) and delegate full-fic reading to Gemini, so recommendations draw on the actual text rather than the blurb.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ArturLys/ao3-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ArturLys/ao3-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-arikusi-nakkas", "name": "arikusi/nakkas", "name_en": "arikusi/nakkas", "desc": "SVG art engine controlled through JSON config: CSS keyframe and SMIL animations, parametric curves, filters, gradients and PNG preview.", "desc_en": "SVG art engine controlled through JSON config: CSS keyframe and SMIL animations, parametric curves, filters, gradients and PNG preview.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/arikusi/nakkas", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/arikusi/nakkas", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aliafsahnoudeh-shahnameh-mcp-server", "name": "aliafsahnoudeh/shahnameh-mcp-server", "name_en": "aliafsahnoudeh/shahnameh-mcp-server", "desc": "Access the Shahnameh (Book of Kings), Ferdowsi's Persian epic poem, including sections, verses and explanations.", "desc_en": "Access the Shahnameh (Book of Kings), Ferdowsi's Persian epic poem, including sections, verses and explanations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aliafsahnoudeh/shahnameh-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aliafsahnoudeh/shahnameh-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-alexzavialov-travel-art-mcp", "name": "alexzavialov/travel-art-mcp", "name_en": "alexzavialov/travel-art-mcp", "desc": "Art-tourism data: biennales (Venice, Whitney), art fairs (Art Basel, Frieze), major museum visitor guides and art trip recommendations.", "desc_en": "Art-tourism data: biennales (Venice, Whitney), art fairs (Art Basel, Frieze), major museum visitor guides and art trip recommendations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexzavialov/travel-art-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexzavialov/travel-art-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-albertnahas-icogenie-mcp", "name": "albertnahas/icogenie-mcp", "name_en": "albertnahas/icogenie-mcp", "desc": "Generate SVG icons from text descriptions with customizable styles.", "desc_en": "Generate SVG icons from text descriptions with customizable styles.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/albertnahas/icogenie-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/albertnahas/icogenie-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ahujasid-blender-mcp", "name": "ahujasid/blender-mcp", "name_en": "ahujasid/blender-mcp", "desc": "Connect AI assistants to Blender.", "desc_en": "Connect AI assistants to Blender.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ahujasid/blender-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ahujasid/blender-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-austenstone-myinstants-mcp", "name": "austenstone/myinstants-mcp", "name_en": "austenstone/myinstants-mcp", "desc": "Soundboard with meme sounds from myinstants.com: search, play and browse categories.", "desc_en": "Soundboard with meme sounds from myinstants.com: search, play and browse categories.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/austenstone/myinstants-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/austenstone/myinstants-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-abhiemj-manim-mcp-server", "name": "abhiemj/manim-mcp-server", "name_en": "abhiemj/manim-mcp-server", "desc": "Generate animations locally using Manim.", "desc_en": "Generate animations locally using Manim.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/abhiemj/manim-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/abhiemj/manim-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-fgbytes-sansfiction-mcp", "name": "fgbytes/sansfiction-mcp", "name_en": "fgbytes/sansfiction-mcp", "desc": "Search the SansFiction book catalog by title, author, series or ISBN and manage a personal reading library: status, progress, ratings, reviews and collections.", "desc_en": "Search the SansFiction book catalog by title, author, series or ISBN and manage a personal reading library: status, progress, ratings, reviews and collections.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/fgbytes/sansfiction-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/fgbytes/sansfiction-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-8ensmith-mcp-open-library", "name": "8enSmith/mcp-open-library", "name_en": "8enSmith/mcp-open-library", "desc": "Search for book information via the Open Library API.", "desc_en": "Search for book information via the Open Library API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/8enSmith/mcp-open-library", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/8enSmith/mcp-open-library", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-aidatanordic-alexandria-mcp", "name": "AIDataNordic/alexandria-mcp", "name_en": "AIDataNordic/alexandria-mcp", "desc": "Semantic search over classical philosophy and humanities works.", "desc_en": "Semantic search over classical philosophy and humanities works.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AIDataNordic/alexandria-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AIDataNordic/alexandria-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-acedatacloud-seedreammcp", "name": "AceDataCloud/MCPSeedream", "name_en": "AceDataCloud/MCPSeedream", "desc": "ByteDance Seedream image generation and editing via the Ace Data Cloud API.", "desc_en": "ByteDance Seedream image generation and editing via the Ace Data Cloud API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AceDataCloud/SeedreamMCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AceDataCloud/SeedreamMCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-acedatacloud-mcpnanobanana", "name": "AceDataCloud/MCPNanoBanana", "name_en": "AceDataCloud/MCPNanoBanana", "desc": "Nano Banana image generation and editing, including virtual try-on and product placement in realistic scenes.", "desc_en": "Nano Banana image generation and editing, including virtual try-on and product placement in realistic scenes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AceDataCloud/MCPNanoBanana", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AceDataCloud/MCPNanoBanana", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-musajala-musajala-mcp", "name": "musajala/musajala-mcp", "name_en": "musajala/musajala-mcp", "desc": "Collaborative Arabic poetry arena and Poetic Equity protocol connecting AI agents with human poets.", "desc_en": "Collaborative Arabic poetry arena and Poetic Equity protocol connecting AI agents with human poets.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/musajala/musajala-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/musajala/musajala-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-acedatacloud-fluxmcp", "name": "AceDataCloud/MCPFlux", "name_en": "AceDataCloud/MCPFlux", "desc": "Flux image generation and editing from Black Forest Labs via the Ace Data Cloud API.", "desc_en": "Flux image generation and editing from Black Forest Labs via the Ace Data Cloud API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AceDataCloud/FluxMCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AceDataCloud/FluxMCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-vince-gonzalez-opticquiz-mcp", "name": "vince-gonzalez/opticquiz-mcp", "name_en": "vince-gonzalez/opticquiz-mcp", "desc": "Color-vision accessibility: check palettes and images for colorblind safety, generate safe palettes, simulate color blindness and create Ishihara-style plates.", "desc_en": "Color-vision accessibility: check palettes and images for colorblind safety, generate safe palettes, simulate color blindness and create Ishihara-style plates.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/vince-gonzalez/opticquiz-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/vince-gonzalez/opticquiz-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kinti-a11y-toolkit", "name": "kinti/a11y-toolkit", "name_en": "kinti/a11y-toolkit", "desc": "WCAG 2.2 accessibility tools: color contrast checks including text over images, EU accessibility declaration generation and an aria-live announcement monitor.", "desc_en": "WCAG 2.2 accessibility tools: color contrast checks including text over images, EU accessibility declaration generation and an aria-live announcement monitor.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kinti/a11y-toolkit", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kinti/a11y-toolkit", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sttruji-mundane-mcp", "name": "sttruji/mundane-mcp", "name_en": "sttruji/mundane-mcp", "desc": "Hire ID-verified people for errands, on-site photos, queue-sitting and in-person bookings, with escrow-backed offers, chat and proof-of-completion review.", "desc_en": "Hire ID-verified people for errands, on-site photos, queue-sitting and in-person bookings, with escrow-backed offers, chat and proof-of-completion review.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sttruji/mundane-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sttruji/mundane-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tribeunal-mcp-server", "name": "tribeunal/mcp-server", "name_en": "tribeunal/mcp-server", "desc": "Community jury platform where humans and AI agents open cases, weigh evidence and vote together, with arbitration mode, verdict waiting and signed webhooks.", "desc_en": "Community jury platform where humans and AI agents open cases, weigh evidence and vote together, with arbitration mode, verdict waiting and signed webhooks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tribeunal/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tribeunal/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-therealdalailama-glyphdna-mcp", "name": "TheRealDalaiLama/glyphdna-mcp", "name_en": "TheRealDalaiLama/glyphdna-mcp", "desc": "Agent identity with self-held Ed25519 keys, verifiable multi-party meeting rooms with co-signed transcript receipts, and script provenance chains.", "desc_en": "Agent identity with self-held Ed25519 keys, verifiable multi-party meeting rooms with co-signed transcript receipts, and script provenance chains.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/TheRealDalaiLama/glyphdna-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/TheRealDalaiLama/glyphdna-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-lanekingsbery-open-task-relay-public", "name": "lanekingsbery/open-task-relay-public", "name_en": "lanekingsbery/open-task-relay-public", "desc": "Open Task Relay: bounded public-good tasks that AI agents can discover, complete, submit and independently verify.", "desc_en": "Open Task Relay: bounded public-good tasks that AI agents can discover, complete, submit and independently verify.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lanekingsbery/open-task-relay-public", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lanekingsbery/open-task-relay-public", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gofrantic-frantic-mcp", "name": "gofrantic/frantic-mcp", "name_en": "gofrantic/frantic-mcp", "desc": "Public bounty board where AI agents claim funded bounties, deliver work and get paid in USDC on Base on acceptance, with a public receipt ledger.", "desc_en": "Public bounty board where AI agents claim funded bounties, deliver work and get paid in USDC on Base on acceptance, with a public receipt ledger.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gofrantic/frantic-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gofrantic/frantic-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-humanforai-humanforai-mcp", "name": "humanforai/humanforai-mcp", "name_en": "humanforai/humanforai-mcp", "desc": "Hire human operators for tasks needing physical presence, perception or judgment: real-world verification, product testing, AI output review and errands.", "desc_en": "Hire human operators for tasks needing physical presence, perception or judgment: real-world verification, product testing, AI output review and errands.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/humanforai/humanforai-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/humanforai/humanforai-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-vladimir-human-humanizer-ru", "name": "Vladimir-Human/humanizer-ru", "name_en": "Vladimir-Human/humanizer-ru", "desc": "Detect and normalize traces of machine generation in Russian text, without authorship verdicts.", "desc_en": "Detect and normalize traces of machine generation in Russian text, without authorship verdicts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Vladimir-Human/humanizer-ru", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Vladimir-Human/humanizer-ru", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ianewsfr-a11y-ergonia", "name": "ianewsfr-a11y/ergonia", "name_en": "ianewsfr-a11y/ergonia", "desc": "Marketplace of verifiable tasks for AI agents: publish independently checkable tasks, submit work and build reputation, with actions in a hash-chained register.", "desc_en": "Marketplace of verifiable tasks for AI agents: publish independently checkable tasks, submit work and build reputation, with actions in a hash-chained register.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ianewsfr-a11y/ergonia", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ianewsfr-a11y/ergonia", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-elicitly-elicitly", "name": "elicitly/elicitly", "name_en": "elicitly/elicitly", "desc": "Human-in-the-loop via MCP elicitation: native confirmation dialogs and typed forms from JSON schemas in the host, plus a check of supported features.", "desc_en": "Human-in-the-loop via MCP elicitation: native confirmation dialogs and typed forms from JSON schemas in the host, plus a check of supported features.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/elicitly/elicitly", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/elicitly/elicitly", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-decision-anchor-mcp-server", "name": "decision-anchor/mcp-server", "name_en": "decision-anchor/mcp-server", "desc": "External anchoring layer that records AI agent accountability boundaries on both sides, without inspecting content or passing judgment.", "desc_en": "External anchoring layer that records AI agent accountability boundaries on both sides, without inspecting content or passing judgment.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/decision-anchor/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/decision-anchor/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cogdepot-mcp-server", "name": "cogdepot/mcp-server", "name_en": "cogdepot/mcp-server", "desc": "Access cogDepot, an anonymous broker where agents publish capability listings, negotiate terms and form escrow-backed deals with two-sided reputation.", "desc_en": "Access cogDepot, an anonymous broker where agents publish capability listings, negotiate terms and form escrow-backed deals with two-sided reputation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cogdepot/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cogdepot/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-cnslabs-agreements-api-sdk", "name": "CNSLabs/agreements-api-sdk", "name_en": "CNSLabs/agreements-api-sdk", "desc": "Define, validate, deploy and operate machine-readable agreements, with EIP-712 permit preparation, signed participant inputs, state reads and input history.", "desc_en": "Define, validate, deploy and operate machine-readable agreements, with EIP-712 permit preparation, signed participant inputs, state reads and input history.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/CNSLabs/agreements-api-sdk", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/CNSLabs/agreements-api-sdk", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-brightbeamai-chap", "name": "BrightbeamAI/chap", "name_en": "BrightbeamAI/chap", "desc": "CHAP Coordinator for auditable human-agent collaboration: approvals, overrides, handoffs, escalations and hash-linked evidence.", "desc_en": "CHAP Coordinator for auditable human-agent collaboration: approvals, overrides, handoffs, escalations and hash-linked evidence.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BrightbeamAI/chap", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BrightbeamAI/chap", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-viventine-space-orbit-sentinel-mcp", "name": "viventine-space/orbit-sentinel-mcp", "name_en": "viventine-space/orbit-sentinel-mcp", "desc": "Search FCC, ITU, UNOOSA and FAA space regulatory filings via Orbit Sentinel: semantic search, entity dossiers, spectrum holdings, launch licenses and alerts.", "desc_en": "Search FCC, ITU, UNOOSA and FAA space regulatory filings via Orbit Sentinel: semantic search, entity dossiers, spectrum holdings, launch licenses and alerts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/viventine-space/orbit-sentinel-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/viventine-space/orbit-sentinel-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-gregario-astronomy-oracle", "name": "gregario/astronomy-oracle", "name_en": "gregario/astronomy-oracle", "desc": "Astronomical catalog data and observing session planning: OpenNGC deep-sky objects with visibility, rise/transit/set and alt/az calculations.", "desc_en": "Astronomical catalog data and observing session planning: OpenNGC deep-sky objects with visibility, rise/transit/set and alt/az calculations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gregario/astronomy-oracle", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gregario/astronomy-oracle", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-kaxiyu-aiagentmarket", "name": "kaxiyu/aiagentmarket", "name_en": "kaxiyu/aiagentmarket", "desc": "Labor marketplace protocol for AI agents with atomic escrow and weighted anti-Sybil reputation.", "desc_en": "Labor marketplace protocol for AI agents with atomic escrow and weighted anti-Sybil reputation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kaxiyu/aiagentmarket", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kaxiyu/aiagentmarket", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-activeing123-mcptoon", "name": "activeing123/mcptoon", "name_en": "activeing123/mcptoon", "desc": "Connect AI agents to MCP servers from one config synced across coding tools, served through one process with compact tool discovery and spec validation.", "desc_en": "Connect AI agents to MCP servers from one config synced across coding tools, served through one process with compact tool discovery and spec validation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/activeing123/mcptoon", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/activeing123/mcptoon", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mcccsm-x402-list-mcp", "name": "mcccsm/x402-list-mcp", "name_en": "mcccsm/x402-list-mcp", "desc": "Find and vet x402 payment APIs in the x402-list directory: search and rank services, check uptime, health, per-endpoint prices and on-chain settlement volume.", "desc_en": "Find and vet x402 payment APIs in the x402-list directory: search and rank services, check uptime, health, per-endpoint prices and on-chain settlement volume.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mcccsm/x402-list-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mcccsm/x402-list-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-forcedreamai-forcedream-mcp", "name": "forcedreamai/forcedream-mcp", "name_en": "forcedreamai/forcedream-mcp", "desc": "Discover, invoke and verify agents on a paid marketplace: code generation, security scanning (OSV.dev, GitGuardian) and lead scoring, with signed results.", "desc_en": "Discover, invoke and verify agents on a paid marketplace: code generation, security scanning (OSV.dev, GitGuardian) and lead scoring, with signed results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forcedreamai/forcedream-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forcedreamai/forcedream-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-singhpratech-crimson-crab-mcp-template", "name": "singhpratech/crimson-crab-mcp-template", "name_en": "singhpratech/crimson-crab-mcp-template", "desc": "Rust template for an MCP server that queries Anthropic's Claude API via the crimson-crab SDK.", "desc_en": "Rust template for an MCP server that queries Anthropic's Claude API via the crimson-crab SDK.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/singhpratech/crimson-crab-mcp-template", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/singhpratech/crimson-crab-mcp-template", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-skillselion-skillselion-mcp", "name": "skillselion/skillselion-mcp", "name_en": "skillselion/skillselion-mcp", "desc": "Search the Skillselion catalog of community-vetted Claude Code skills, MCP servers and marketplaces, ranked by installs and GitHub stars; load skills mid-task.", "desc_en": "Search the Skillselion catalog of community-vetted Claude Code skills, MCP servers and marketplaces, ranked by installs and GitHub stars; load skills mid-task.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/skillselion/skillselion-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/skillselion/skillselion-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tsouth89-toolport", "name": "tsouth89/toolport", "name_en": "tsouth89/toolport", "desc": "Local gateway and manager for MCP servers shared across AI coding tools: set up and authenticate each server once, with lazy discovery and OS keychain storage.", "desc_en": "Local gateway and manager for MCP servers shared across AI coding tools: set up and authenticate each server once, with lazy discovery and OS keychain storage.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tsouth89/toolport", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tsouth89/toolport", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ertad-family-liquid", "name": "ertad-family/liquid", "name_en": "ertad-family/liquid", "desc": "Connect agents to any REST API on the fly: maps the API once, then fetches typed data deterministically without per-call LLM use. Self-hosted.", "desc_en": "Connect agents to any REST API on the fly: maps the API once, then fetches typed data deterministically without per-call LLM use. Self-hosted.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ertad-family/liquid", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ertad-family/liquid", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-swarmwage-swarmwage", "name": "Swarmwage/swarmwage", "name_en": "Swarmwage/swarmwage", "desc": "Agent hiring protocol on x402: discover specialized agents, hire them in one call and settle in USDC on Base, with reputation and on-chain EIP-3009 receipts.", "desc_en": "Agent hiring protocol on x402: discover specialized agents, hire them in one call and settle in USDC on Base, with reputation and on-chain EIP-3009 receipts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Swarmwage/swarmwage", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Swarmwage/swarmwage", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-yangliangwei-personalizationmcp", "name": "YangLiangwei/PersonalizationMCP", "name_en": "YangLiangwei/PersonalizationMCP", "desc": "Aggregate personal data from Steam, YouTube, Bilibili, Spotify, Reddit and other gaming, music, video and social platforms, with OAuth2 and token management.", "desc_en": "Aggregate personal data from Steam, YouTube, Bilibili, Spotify, Reddit and other gaming, music, video and social platforms, with OAuth2 and token management.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/YangLiangwei/PersonalizationMCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/YangLiangwei/PersonalizationMCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ikoskela-wisepanel-mcp", "name": "ikoskela/wisepanel-mcp", "name_en": "ikoskela/wisepanel-mcp", "desc": "Multi-agent deliberation across ChatGPT, Claude, Gemini and Perplexity, with dynamically generated roles that explore the question from divergent angles.", "desc_en": "Multi-agent deliberation across ChatGPT, Claude, Gemini and Perplexity, with dynamically generated roles that explore the question from divergent angles.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ikoskela/wisepanel-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ikoskela/wisepanel-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-x402-index-x402search-mcp", "name": "x402-index/x402search-mcp", "name_en": "x402-index/x402search-mcp", "desc": "Search x402-enabled HTTP APIs by keyword, paid per search via x402 micropayments on Base.", "desc_en": "Search x402-enabled HTTP APIs by keyword, paid per search via x402 micropayments on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/x402-index/x402search-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/x402-index/x402search-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-rplryan-x402-discovery-mcp", "name": "rplryan/x402-discovery-mcp", "name_en": "rplryan/x402-discovery-mcp", "desc": "Runtime discovery for x402-payable APIs: find and route to pay-per-call endpoints by capability, ranked by quality and trust score, plus a Python SDK and CLI.", "desc_en": "Runtime discovery for x402-payable APIs: find and route to pay-per-call endpoints by capability, ranked by quality and trust score, plus a Python SDK and CLI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rplryan/x402-discovery-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rplryan/x402-discovery-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wolido-openaaas", "name": "Wolido/OpenAaaS", "name_en": "Wolido/OpenAaaS", "desc": "Adapter to the OpenAaaS scientific agent network: submit tasks such as literature analysis or materials database queries to remote research agents.", "desc_en": "Adapter to the OpenAaaS scientific agent network: submit tasks such as literature analysis or materials database queries to remote research agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Wolido/OpenAaaS", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Wolido/OpenAaaS", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-withoneai-mcp", "name": "withoneai/mcp", "name_en": "withoneai/mcp", "desc": "Search, document and execute authenticated API calls across apps such as Gmail, Slack, Stripe, Notion and GitHub through a few tools with constant context size.", "desc_en": "Search, document and execute authenticated API calls across apps such as Gmail, Slack, Stripe, Notion and GitHub through a few tools with constant context size.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/withoneai/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/withoneai/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-whiteknightonhorse-apibase", "name": "whiteknightonhorse/APIbase", "name_en": "whiteknightonhorse/APIbase", "desc": "API hub covering travel (Amadeus, Sabre), Polymarket prediction markets, crypto and weather, paid per call via x402 in USDC.", "desc_en": "API hub covering travel (Amadeus, Sabre), Polymarket prediction markets, crypto and weather, paid per call via x402 in USDC.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/whiteknightonhorse/APIbase", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/whiteknightonhorse/APIbase", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wegotdocs-open-mcp", "name": "wegotdocs/open-mcp", "name_en": "wegotdocs/open-mcp", "desc": "Turn a web API into an MCP server and add it to the open-source open-mcp.org registry.", "desc_en": "Turn a web API into an MCP server and add it to the open-source open-mcp.org registry.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/wegotdocs/open-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/wegotdocs/open-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-waystation-ai-mcp", "name": "WayStation-ai/mcp", "name_en": "WayStation-ai/mcp", "desc": "Connect MCP hosts to apps such as Notion, Slack, Monday and Airtable.", "desc_en": "Connect MCP hosts to apps such as Notion, Slack, Monday and Airtable.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/waystation-ai/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/waystation-ai/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-viperjuice-mcp-gateway", "name": "ViperJuice/mcp-gateway", "name_en": "ViperJuice/mcp-gateway", "desc": "Meta-server that reduces Claude Code tool bloat via progressive disclosure, auto-starting Playwright and Context7 and provisioning MCP servers on demand.", "desc_en": "Meta-server that reduces Claude Code tool bloat via progressive disclosure, auto-starting Playwright and Context7 and provisioning MCP servers on demand.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ViperJuice/mcp-gateway", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ViperJuice/mcp-gateway", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-veriteknik-pluggedin-mcp-proxy", "name": "VeriTeknik/pluggedin-mcp-proxy", "name_en": "VeriTeknik/pluggedin-mcp-proxy", "desc": "Proxy combining multiple MCP servers into one interface, with discovery and management of tools, prompts, resources and templates plus a debugging playground.", "desc_en": "Proxy combining multiple MCP servers into one interface, with discovery and management of tools, prompts, resources and templates plus a debugging playground.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/VeriTeknik/pluggedin-mcp-proxy", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/VeriTeknik/pluggedin-mcp-proxy", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-toadlybroodle-satring-tree-main-mcp", "name": "toadlyBroodle/satring", "name_en": "toadlyBroodle/satring", "desc": "Discover and compare L402 and x402 paid API services from satring.com, a curated Lightning and USDC API directory.", "desc_en": "Discover and compare L402 and x402 paid API services from satring.com, a curated Lightning and USDC API directory.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/toadlyBroodle/satring/tree/main/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/toadlyBroodle/satring/tree/main/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mrfelfel-taghvim", "name": "mrfelfel/taghvim", "name_en": "mrfelfel/taghvim", "desc": "Deterministic date and time reasoning: arithmetic, DST-aware time zones, business days, public holidays, RFC 5545 recurrence and Gregorian/Persian conversion.", "desc_en": "Deterministic date and time reasoning: arithmetic, DST-aware time zones, business days, public holidays, RFC 5545 recurrence and Gregorian/Persian conversion.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mrfelfel/taghvim", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mrfelfel/taghvim", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-thelunarcompany-lunar-tree-main-mcpx", "name": "TheLunarCompany/lunar#mcpx", "name_en": "TheLunarCompany/lunar#mcpx", "desc": "MCPX: open-source gateway for managing MCP servers at scale, centralizing tool discovery, access controls, call prioritization and usage tracking.", "desc_en": "MCPX: open-source gateway for managing MCP servers at scale, centralizing tool discovery, access controls, call prioritization and usage tracking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/TheLunarCompany/lunar/tree/main/mcpx", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/TheLunarCompany/lunar/tree/main/mcpx", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-swaltersjrtest-microtap-mcp", "name": "swaltersjrtest/microtap-mcp", "name_en": "swaltersjrtest/microtap-mcp", "desc": "Pay-per-call x402 APIs: Polymarket and Kalshi prediction markets, DeFi and crypto data, on-chain reads across EVM chains, live weather and web search.", "desc_en": "Pay-per-call x402 APIs: Polymarket and Kalshi prediction markets, DeFi and crypto data, on-chain reads across EVM chains, live weather and web search.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/swaltersjrtest/microtap-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/swaltersjrtest/microtap-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-thebrierfox-the-stall", "name": "thebrierfox/the-stall", "name_en": "thebrierfox/the-stall", "desc": "Pay-per-call x402 data: equities, crypto/DeFi analytics, options chains, dealer GEX, macro data, congressional trades, prediction markets and SEC filings.", "desc_en": "Pay-per-call x402 data: equities, crypto/DeFi analytics, options chains, dealer GEX, macro data, congressional trades, prediction markets and SEC filings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thebrierfox/the-stall", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thebrierfox/the-stall", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sxhxliang-mcp-access-point", "name": "sxhxliang/mcp-access-point", "name_en": "sxhxliang/mcp-access-point", "desc": "Turn a web service into an MCP server without code changes.", "desc_en": "Turn a web service into an MCP server without code changes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sxhxliang/mcp-access-point", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sxhxliang/mcp-access-point", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-surescaleai-openai-gpt-image-mcp", "name": "SureScaleAI/openai-gpt-image-mcp", "name_en": "SureScaleAI/openai-gpt-image-mcp", "desc": "Image generation and editing with OpenAI's GPT image models.", "desc_en": "Image generation and editing with OpenAI's GPT image models.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SureScaleAI/openai-gpt-image-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SureScaleAI/openai-gpt-image-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sonnyflylock-voxie-ai-directory-mcp", "name": "sonnyflylock/voxie-ai-directory-mcp", "name_en": "sonnyflylock/voxie-ai-directory-mcp", "desc": "AI phone number directory: query Voxie AI personas and third-party AI services such as ChatGPT and get webchat links.", "desc_en": "AI phone number directory: query Voxie AI personas and third-party AI services such as ChatGPT and get webchat links.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sonnyflylock/voxie-ai-directory-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sonnyflylock/voxie-ai-directory-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-smart-mcp-proxy-mcpproxy-go", "name": "smart-mcp-proxy/mcpproxy-go", "name_en": "smart-mcp-proxy/mcpproxy-go", "desc": "Local MCP proxy that routes multiple servers through one endpoint, with BM25 tool filtering, quarantine security, activity logging and a web UI.", "desc_en": "Local MCP proxy that routes multiple servers through one endpoint, with BM25 tool filtering, quarantine security, activity logging and a web UI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/smart-mcp-proxy/mcpproxy-go", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/smart-mcp-proxy/mcpproxy-go", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-sitbon-magg", "name": "sitbon/magg", "name_en": "sitbon/magg", "desc": "Meta-MCP server that lets LLMs discover, install and orchestrate multiple MCP servers to extend their own capabilities on demand.", "desc_en": "Meta-MCP server that lets LLMs discover, install and orchestrate multiple MCP servers to extend their own capabilities on demand.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sitbon/magg", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sitbon/magg", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-supertrained-rhumb", "name": "supertrained/rhumb", "name_en": "supertrained/rhumb", "desc": "Tool intelligence over scored services: discover and compare providers, check AN Scores, execute with managed or own credentials, and track costs and failures.", "desc_en": "Tool intelligence over scored services: discover and compare providers, check AN Scores, execute with managed or own credentials, and track costs and failures.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/supertrained/rhumb", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/supertrained/rhumb", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-sf1nx-x402station-mcp", "name": "sF1nX/x402station", "name_en": "sF1nX/x402station", "desc": "Preflight checks for x402 payments: detect decoys, zombie endpoints, dead services and price traps before an agent pays, plus forensics and alternatives.", "desc_en": "Preflight checks for x402 payments: detect decoys, zombie endpoints, dead services and price traps before an agent pays, plus forensics and alternatives.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sF1nX/x402station-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sF1nX/x402station-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-rendeverance-toolfunnel", "name": "Rendeverance/toolfunnel", "name_en": "Rendeverance/toolfunnel", "desc": "Gateway that funnels multiple MCP servers through one endpoint, with live attach and detach, tool filtering and hiding, hot config reload and optional OAuth.", "desc_en": "Gateway that funnels multiple MCP servers through one endpoint, with live attach and detach, tool filtering and hiding, hot config reload and optional OAuth.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Rendeverance/toolfunnel", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Rendeverance/toolfunnel", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-rupinder2-mcp-orchestrator", "name": "rupinder2/mcp-orchestrator", "name_en": "rupinder2/mcp-orchestrator", "desc": "Hub that aggregates tools from multiple MCP servers with unified BM25 and regex search and deferred loading.", "desc_en": "Hub that aggregates tools from multiple MCP servers with unified BM25 and regex search and deferred loading.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rupinder2/mcp-orchestrator", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rupinder2/mcp-orchestrator", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-doteyeso-ops-mcp-server-vibes-coded", "name": "doteyeso-ops/mcp-server-vibes-coded", "name_en": "doteyeso-ops/mcp-server-vibes-coded", "desc": "Tools for agent supply-chain security, scanner consensus and x402 reliability, plus access to Vibes-Coded's commerce catalog.", "desc_en": "Tools for agent supply-chain security, scanner consensus and x402 reliability, plus access to Vibes-Coded's commerce catalog.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/doteyeso-ops/mcp-server-vibes-coded", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/doteyeso-ops/mcp-server-vibes-coded", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-robhunter-agentdeals", "name": "robhunter/agentdeals", "name_en": "robhunter/agentdeals", "desc": "Search developer infrastructure deals, free tiers and startup programs, compare vendors, plan stacks and track pricing changes.", "desc_en": "Search developer infrastructure deals, free tiers and startup programs, compare vendors, plan stacks and track pricing changes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/robhunter/agentdeals", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/robhunter/agentdeals", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-thinkchainai-mcpbundles", "name": "thinkchainai/mcpbundles", "name_en": "thinkchainai/mcpbundles", "desc": "Create custom tool bundles, connect providers with OAuth or API keys, and use one MCP server across many integrations, with a UI for bundles and credentials.", "desc_en": "Create custom tool bundles, connect providers with OAuth or API keys, and use one MCP server across many integrations, with a UI for bundles and credentials.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thinkchainai/mcpbundles", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thinkchainai/mcpbundles", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:40.134Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 39 }, { "id": "mcp-qualienai-qualien-mcp", "name": "qualienai/qualien-mcp", "name_en": "qualienai/qualien-mcp", "desc": "Gateway for QA/SDET work: Playwright, filesystem, GitHub, Jira, Postgres and 15+ more MCP servers behind one connection, with per-tool allow/deny and read-only-by-default databases.", "desc_en": "Gateway for QA/SDET work: Playwright, filesystem, GitHub, Jira, Postgres and 15+ more MCP servers behind one connection, with per-tool allow/deny and read-only-by-default databases.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/qualienai/qualien-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/qualienai/qualien-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-matebenyovszky-agentplaybooks", "name": "matebenyovszky/agentplaybooks", "name_en": "matebenyovszky/agentplaybooks", "desc": "Portable playbooks for agent skills, MCP servers, personas, instructions, and memory. Aggregate connected tools through Streamable HTTP or the local stdio transport; OAuth and API-key authentication supported.", "desc_en": "Portable playbooks for agent skills, MCP servers, personas, instructions, and memory. Aggregate connected tools through Streamable HTTP or the local stdio transport; OAuth and API-key authentication supported.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/matebenyovszky/agentplaybooks", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/matebenyovszky/agentplaybooks", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-kaiser-data-kitsune-mcp", "name": "kaiser-data/kitsune-mcp", "name_en": "kaiser-data/kitsune-mcp", "desc": "Hot-reload for MCP servers: the agent connects the server it is building, calls a tool, fixes the code, runs `reload()` and calls it again in the same session, with no client restart. Also mounts any of 130,000+ servers from 7 registries mid-session (one tool at a time if you like) and runs community npm/PyPI packages in a hardened Docker container.", "desc_en": "Hot-reload for MCP servers: the agent connects the server it is building, calls a tool, fixes the code, runs `reload()` and calls it again in the same session, with no client restart. Also mounts any of 130,000+ servers from 7 registries mid-session (one tool at a time if you like) and runs community npm/PyPI packages in a hardened Docker container.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kaiser-data/kitsune-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kaiser-data/kitsune-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-bkraad47-ramen", "name": "bkraad47/ramen", "name_en": "bkraad47/ramen", "desc": "Self-hosted MCP for teams: deploy your own Python tools from git to Kubernetes (AKS/GKE/EKS/local) with canary rollouts, OAuth sign-in, autoscaling, Nvidia NeMo guardrails, roles per group, secrets and an audit log of every call.", "desc_en": "Self-hosted MCP for teams: deploy your own Python tools from git to Kubernetes (AKS/GKE/EKS/local) with canary rollouts, OAuth sign-in, autoscaling, Nvidia NeMo guardrails, roles per group, secrets and an audit log of every call.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bkraad47/ramen", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bkraad47/ramen", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-giorgio44-gateonai-mcp-server", "name": "giorgio44/gateonai-mcp-server", "name_en": "giorgio44/gateonai-mcp-server", "desc": "Search and compare thousands of AI tools, generate step-by-step AI workflows and AI tool stacks by profession from GateOnAI's curated catalog. Free, no API key.", "desc_en": "Search and compare thousands of AI tools, generate step-by-step AI workflows and AI tool stacks by profession from GateOnAI's curated catalog. Free, no API key.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/giorgio44/gateonai-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/giorgio44/gateonai-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-o-mega-enterprise-suprsonic-mcp", "name": "O-mega-Enterprise/suprsonic-mcp", "name_en": "O-mega-Enterprise/suprsonic-mcp", "desc": "One API key for 24 agent capabilities: web search, scraping, people and company data, email finding and verification, images, speech, transcription, documents, code execution, research and domains, with no provider sign-ups. `npx -y suprsonic-mcp`", "desc_en": "One API key for 24 agent capabilities: web search, scraping, people and company data, email finding and verification, images, speech, transcription, documents, code execution, research and domains, with no provider sign-ups. `npx -y suprsonic-mcp`", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/O-mega-Enterprise/suprsonic-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/O-mega-Enterprise/suprsonic-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-kumarganduri-legwork", "name": "kumarganduri/legwork", "name_en": "kumarganduri/legwork", "desc": "Your AI finds an open-source tool on GitHub and Legwork installs it as an MCP tool in a sandbox: only the folders you grant, read-only, no network unless allowed. 37 cached tools need no API key.", "desc_en": "Your AI finds an open-source tool on GitHub and Legwork installs it as an MCP tool in a sandbox: only the folders you grant, read-only, no network unless allowed. 37 cached tools need no API key.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kumarganduri/legwork", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kumarganduri/legwork", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 4 }, { "id": "mcp-inth3shadows-terse", "name": "inth3shadows/terse", "name_en": "inth3shadows/terse", "desc": "Transparent proxy that sits in front of any other MCP server and shrinks its tool output before it reaches the model. Lossless by default — a denser encoding of the same bytes, with a round-trip gate asserting an exact inverse, so nothing is dropped or summarised. Repeated calls to the same tool emit a delta against the prior result instead of the whole payload. Per-tool opt-in, no decode step, no model in the loop. `uv tool install terse-mcp` then `terse proxy -- `", "desc_en": "Transparent proxy that sits in front of any other MCP server and shrinks its tool output before it reaches the model. Lossless by default — a denser encoding of the same bytes, with a round-trip gate asserting an exact inverse, so nothing is dropped or summarised. Repeated calls to the same tool emit a delta against the prior result instead of the whole payload. Per-tool opt-in, no decode step, no model in the loop. `uv tool install terse-mcp` then `terse proxy -- `", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/inth3shadows/terse", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/inth3shadows/terse", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-profullstack-mcp-server", "name": "profullstack/mcp-server", "name_en": "profullstack/mcp-server", "desc": "Developer utilities: SEO optimization, document conversion, domain lookup, email validation, QR codes, weather data, social media posting and security scanning.", "desc_en": "Developer utilities: SEO optimization, document conversion, domain lookup, email validation, QR codes, weather data, social media posting and security scanning.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/profullstack/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/profullstack/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-portel-dev-ncp", "name": "portel-dev/ncp", "name_en": "portel-dev/ncp", "desc": "Orchestrates all your MCP servers through tool discovery, reducing token overhead.", "desc_en": "Orchestrates all your MCP servers through tool discovery, reducing token overhead.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/portel-dev/ncp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/portel-dev/ncp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-particlefuture-1mcpserver", "name": "particlefuture/MCPDiscovery", "name_en": "particlefuture/MCPDiscovery", "desc": "Automatically discover and configure MCP servers on your local machine.", "desc_en": "Automatically discover and configure MCP servers on your local machine.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/particlefuture/1mcpserver", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/particlefuture/1mcpserver", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-oxgeneral-agentnet", "name": "oxgeneral/agentnet", "name_en": "oxgeneral/agentnet", "desc": "Agent-to-agent referral network where AI agents discover, recommend and refer users to each other, with a bilateral trust model and referral tracking.", "desc_en": "Agent-to-agent referral network where AI agents discover, recommend and refer users to each other, with a bilateral trust model and referral tracking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/oxgeneral/agentnet", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/oxgeneral/agentnet", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-opentabs-dev-opentabs", "name": "opentabs-dev/opentabs", "name_en": "opentabs-dev/opentabs", "desc": "Plugin-based server and Chrome extension that gives AI agents access to web apps through your authenticated browser session, with a plugin SDK.", "desc_en": "Plugin-based server and Chrome extension that gives AI agents access to web apps through your authenticated browser session, with a plugin SDK.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/opentabs-dev/opentabs", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/opentabs-dev/opentabs", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-octodamus-octodamus-core", "name": "Octodamus/octodamus-core", "name_en": "Octodamus/octodamus-core", "desc": "Crypto market oracle: BUY/SELL/HOLD consensus from RSI, MACD, funding rates and on-chain flow, plus Polymarket edges with EV scoring and X crowd sentiment.", "desc_en": "Crypto market oracle: BUY/SELL/HOLD consensus from RSI, MACD, funding rates and on-chain flow, plus Polymarket edges with EV scoring and X crowd sentiment.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Octodamus/octodamus-core", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Octodamus/octodamus-core", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-ni-c-mcp-hub", "name": "ni-c/mcp-hub", "name_en": "ni-c/mcp-hub", "desc": "Serve many stdio MCP servers from one container over HTTPS, with path-based routing, an aggregate endpoint using meta-tools, built-in OAuth 2.1 and hot reload.", "desc_en": "Serve many stdio MCP servers from one container over HTTPS, with path-based routing, an aggregate endpoint using meta-tools, built-in OAuth 2.1 and hot reload.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ni-c/mcp-hub", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ni-c/mcp-hub", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-nimbus-agent-nimbus", "name": "nimbus-agent/Nimbus", "name_en": "nimbus-agent/Nimbus", "desc": "Read-only search over a local index of your engineering stack (GitHub, Jira, Slack, PagerDuty, Datadog and more): incidents, PRs, deployments and DORA metrics.", "desc_en": "Read-only search over a local index of your engineering stack (GitHub, Jira, Slack, PagerDuty, Datadog and more): incidents, PRs, deployments and DORA metrics.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nimbus-agent/Nimbus", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nimbus-agent/Nimbus", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mroops0111-openapi-mcp-gateway", "name": "mroops0111/openapi-mcp-gateway", "name_en": "mroops0111/openapi-mcp-gateway", "desc": "Mount multiple OpenAPI specs or a FastAPI app as MCP servers in one process, exposing GET endpoints as resources and large specs through meta-tools.", "desc_en": "Mount multiple OpenAPI specs or a FastAPI app as MCP servers in one process, exposing GET endpoints as resources and large specs through meta-tools.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mroops0111/openapi-mcp-gateway", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mroops0111/openapi-mcp-gateway", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mirastacklabs-ai-mirastack-redfish-mcp", "name": "mirastacklabs-ai/mirastack-redfish-mcp", "name_en": "mirastacklabs-ai/mirastack-redfish-mcp", "desc": "Governed access to DMTF Redfish BMCs (iDRAC, iLO, XCC, OpenBMC) for power, thermal, firmware and BIOS management; read-only by default with tiered write modes.", "desc_en": "Governed access to DMTF Redfish BMCs (iDRAC, iLO, XCC, OpenBMC) for power, thermal, firmware and BIOS management; read-only by default with tiered write modes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mirastacklabs-ai/mirastack-redfish-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mirastacklabs-ai/mirastack-redfish-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mikkoparkkola-mcp-gateway", "name": "MikkoParkkola/mcp-gateway", "name_en": "MikkoParkkola/mcp-gateway", "desc": "MCP gateway with single-port multiplexing and meta-tools that replace individual tool registrations, plus hot-reloadable capabilities and OpenAPI import.", "desc_en": "MCP gateway with single-port multiplexing and meta-tools that replace individual tool registrations, plus hot-reloadable capabilities and OpenAPI import.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MikkoParkkola/mcp-gateway", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MikkoParkkola/mcp-gateway", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mikeypetrillo-agent402", "name": "MikeyPetrillo/Agent402", "name_en": "MikeyPetrillo/Agent402", "desc": "Pay-per-call x402 tools and skill packs (headless browser, web search, OCR, wallet-keyed memory), plus a router that finds the cheapest healthy tool.", "desc_en": "Pay-per-call x402 tools and skill packs (headless browser, web search, OCR, wallet-keyed memory), plus a router that finds the cheapest healthy tool.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MikeyPetrillo/Agent402", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MikeyPetrillo/Agent402", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-metatool-ai-metatool-app", "name": "metatool-ai/metatool-app", "name_en": "metatool-ai/metatool-app", "desc": "MetaMCP: unified middleware MCP server that manages your MCP connections through a GUI.", "desc_en": "MetaMCP: unified middleware MCP server that manages your MCP connections through a GUI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/metatool-ai/metatool-app", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/metatool-ai/metatool-app", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-merterbak-grok-mcp", "name": "merterbak/Grok-MCP", "name_en": "merterbak/Grok-MCP", "desc": "Access xAI's Grok API with agentic tool calling, image generation, vision and file support.", "desc_en": "Access xAI's Grok API with agentic tool calling, image generation, vision and file support.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/merterbak/Grok-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/merterbak/Grok-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mediiiiium-mcp-jp", "name": "mediiiiium/mcp-jp", "name_en": "mediiiiium/mcp-jp", "desc": "MCP servers for Japanese SMB SaaS without their own MCP support, such as KING OF TIME, SmartHR, kaonavi, Smaregi, LINE Lstep and CloudSign.", "desc_en": "MCP servers for Japanese SMB SaaS without their own MCP support, such as KING OF TIME, SmartHR, kaonavi, Smaregi, LINE Lstep and CloudSign.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mediiiiium/mcp-jp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mediiiiium/mcp-jp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mastadoonprime-sylex-search", "name": "MastadoonPrime/sylex-search", "name_en": "MastadoonPrime/sylex-search", "desc": "Search engine for AI agents to discover products, services and businesses across categories, without LLM calls.", "desc_en": "Search engine for AI agents to discover products, services and businesses across categories, without LLM calls.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MastadoonPrime/sylex-search", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MastadoonPrime/sylex-search", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-markgatcha-universal-mcp-toolkit", "name": "Markgatcha/universal-mcp-toolkit", "name_en": "Markgatcha/universal-mcp-toolkit", "desc": "MCP aggregator that connects agents to multiple MCP servers through one configuration, with ready-made templates and cross-repo prompt workflows.", "desc_en": "MCP aggregator that connects agents to multiple MCP servers through one configuration, with ready-made templates and cross-repo prompt workflows.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Markgatcha/universal-mcp-toolkit", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Markgatcha/universal-mcp-toolkit", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mambalabsdev-mcp-gtm-suite", "name": "mambalabsdev/mcp-gtm-suite", "name_en": "mambalabsdev/mcp-gtm-suite", "desc": "Go-to-market signals via Apify actors: hiring signals, tech stack detection, job board scanning, LinkedIn URL resolution, ICP scoring and signal aggregation.", "desc_en": "Go-to-market signals via Apify actors: hiring signals, tech stack detection, job board scanning, LinkedIn URL resolution, ICP scoring and signal aggregation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mambalabsdev/mcp-gtm-suite", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mambalabsdev/mcp-gtm-suite", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-khalidsaidi-ragmap", "name": "khalidsaidi/ragmap", "name_en": "khalidsaidi/ragmap", "desc": "MapRag: RAG-focused MCP subregistry for discovering and routing to retrieval-capable MCP servers with structured constraints and explainable ranking.", "desc_en": "MapRag: RAG-focused MCP subregistry for discovering and routing to retrieval-capable MCP servers with structured constraints and explainable ranking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/khalidsaidi/ragmap", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/khalidsaidi/ragmap", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-kevmoz-macaroonnetwork-mcp", "name": "kevmoz/macaroonnetwork-mcp", "name_en": "kevmoz/macaroonnetwork-mcp", "desc": "Search and buy from a predicate-gated scientific and data marketplace: browse the catalogue and metadata, then pay via x402 (USDC on Base) or Lightning L402.", "desc_en": "Search and buy from a predicate-gated scientific and data marketplace: browse the catalogue and metadata, then pay via x402 (USDC on Base) or Lightning L402.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kevmoz/macaroonnetwork-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kevmoz/macaroonnetwork-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-kansei-link-kansei-mcp-server", "name": "kansei-link/kansei-mcp-server", "name_en": "kansei-link/kansei-mcp-server", "desc": "Local-first navigator with verified data on SaaS services and workflow recipes.", "desc_en": "Local-first navigator with verified data on SaaS services and workflow recipes.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kansei-link/kansei-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kansei-link/kansei-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-k-dense-ai-claude-skills-mcp", "name": "K-Dense-AI/claude-skills-mcp", "name_en": "K-Dense-AI/claude-skills-mcp", "desc": "Search and use Claude Agent Skills from any model or client as if natively supported.", "desc_en": "Search and use Claude Agent Skills from any model or client as if natively supported.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/K-Dense-AI/claude-skills-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/K-Dense-AI/claude-skills-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-juspay-neurolink", "name": "juspay/neurolink", "name_en": "juspay/neurolink", "desc": "Edge-first AI platform unifying many providers and models, with multi-agent orchestration, human-in-the-loop workflows, guardrails and context summarization.", "desc_en": "Edge-first AI platform unifying many providers and models, with multi-agent orchestration, human-in-the-loop workflows, guardrails and context summarization.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/juspay/neurolink", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/juspay/neurolink", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-julien040-anyquery", "name": "julien040/anyquery", "name_en": "julien040/anyquery", "desc": "Query apps with SQL from a single local-first binary; also connects to PostgreSQL, MySQL and SQLite-compatible databases.", "desc_en": "Query apps with SQL from a single local-first binary; also connects to PostgreSQL, MySQL and SQLite-compatible databases.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/julien040/anyquery", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/julien040/anyquery", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jovancoding-network-ai", "name": "Jovancoding/Network-AI", "name_en": "Jovancoding/Network-AI", "desc": "Multi-agent orchestration with a race-condition-safe shared blackboard, agent spawning, FSM transitions, budget and token tracking, and audit logs.", "desc_en": "Multi-agent orchestration with a race-condition-safe shared blackboard, agent spawning, FSM transitions, budget and token tracking, and audit logs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Jovancoding/Network-AI", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Jovancoding/Network-AI", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jaspertvdm-mcp-server-openai-bridge", "name": "jaspertvdm/mcp-server-openai-bridge", "name_en": "jaspertvdm/mcp-server-openai-bridge", "desc": "Bridge to the OpenAI API for accessing GPT-4, GPT-4o and other OpenAI models.", "desc_en": "Bridge to the OpenAI API for accessing GPT-4, GPT-4o and other OpenAI models.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jaspertvdm/mcp-server-openai-bridge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jaspertvdm/mcp-server-openai-bridge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jaspertvdm-mcp-server-ollama-bridge", "name": "jaspertvdm/mcp-server-ollama-bridge", "name_en": "jaspertvdm/mcp-server-ollama-bridge", "desc": "Bridge to a local Ollama server for running Llama, Mistral, Qwen and other local models.", "desc_en": "Bridge to a local Ollama server for running Llama, Mistral, Qwen and other local models.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jaspertvdm/mcp-server-ollama-bridge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jaspertvdm/mcp-server-ollama-bridge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jaspertvdm-mcp-server-gemini-bridge", "name": "jaspertvdm/mcp-server-gemini-bridge", "name_en": "jaspertvdm/mcp-server-gemini-bridge", "desc": "Bridge to the Google Gemini API for accessing Gemini Pro and Flash models.", "desc_en": "Bridge to the Google Gemini API for accessing Gemini Pro and Flash models.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jaspertvdm/mcp-server-gemini-bridge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jaspertvdm/mcp-server-gemini-bridge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jackalope-dev-allmcps-server", "name": "Jackalope-Dev/allmcps-server", "name_en": "Jackalope-Dev/allmcps-server", "desc": "Search and browse the AllMCPs.com registry of MCP servers, get install configs, and submit or claim listings.", "desc_en": "Search and browse the AllMCPs.com registry of MCP servers, get install configs, and submit or claim listings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Jackalope-Dev/allmcps-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Jackalope-Dev/allmcps-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-jabbawocky-proposalcraft", "name": "jabbawocky/proposalcraft", "name_en": "jabbawocky/proposalcraft", "desc": "Draft client proposals in your own voice from a new brief, based on your saved past proposals, with local storage only.", "desc_en": "Draft client proposals in your own voice from a new brief, based on your saved past proposals, with local storage only.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jabbawocky/proposalcraft", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jabbawocky/proposalcraft", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-isaac-levine-forage", "name": "isaac-levine/forage", "name_en": "isaac-levine/forage", "desc": "Self-improving tool discovery: searches registries, installs MCP servers as subprocesses without restarts, and persists tool knowledge across sessions.", "desc_en": "Self-improving tool discovery: searches registries, installs MCP servers as subprocesses without restarts, and persists tool knowledge across sessions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/isaac-levine/forage", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/isaac-levine/forage", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-helpcode-ai-anythingmcp", "name": "HelpCode-ai/anythingmcp", "name_en": "HelpCode-ai/anythingmcp", "desc": "Self-hosted MCP gateway turning REST, SOAP and GraphQL APIs and SQL/NoSQL databases into MCP tools without code, with spec import, pre-built adapters and RBAC.", "desc_en": "Self-hosted MCP gateway turning REST, SOAP and GraphQL APIs and SQL/NoSQL databases into MCP tools without code, with spec import, pre-built adapters and RBAC.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/HelpCode-ai/anythingmcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/HelpCode-ai/anythingmcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-hedging8563-tokenlab-mcp-server", "name": "hedging8563/tokenlab-mcp-server", "name_en": "hedging8563/tokenlab-mcp-server", "desc": "TokenLab AI gateway: model and price discovery plus OpenAI-compatible Chat Completions, Responses, Anthropic Messages and Gemini inference.", "desc_en": "TokenLab AI gateway: model and price discovery plus OpenAI-compatible Chat Completions, Responses, Anthropic Messages and Gemini inference.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hedging8563/tokenlab-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hedging8563/tokenlab-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-hashgraph-online-hashnet-mcp-js", "name": "hashgraph-online/hashnet-mcp-js", "name_en": "hashgraph-online/hashnet-mcp-js", "desc": "Discover, register and chat with AI agents on the Hashgraph network via the Registry Broker.", "desc_en": "Discover, register and chat with AI agents on the Hashgraph network via the Registry Broker.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hashgraph-online/hashnet-mcp-js", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hashgraph-online/hashnet-mcp-js", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-hamflx-imagen3-mcp", "name": "hamflx/imagen3-mcp", "name_en": "hamflx/imagen3-mcp", "desc": "Generate images from text prompts with Google's Imagen 3 API, with photography, artistic and photorealistic controls.", "desc_en": "Generate images from text prompts with Google's Imagen 3 API, with photography, artistic and photorealistic controls.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hamflx/imagen3-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hamflx/imagen3-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gzoonet-cortex", "name": "gzoonet/cortex", "name_en": "gzoonet/cortex", "desc": "Local-first developer knowledge graph: watches project files, extracts entities and relationships with LLMs, and offers queries, a web dashboard and a CLI.", "desc_en": "Local-first developer knowledge graph: watches project files, extracts entities and relationships with LLMs, and offers queries, a web dashboard and a CLI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gzoonet/cortex", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gzoonet/cortex", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gpu-bridge-mcp-server", "name": "gpu-bridge/mcp-server", "name_en": "gpu-bridge/mcp-server", "desc": "GPU inference API for LLMs, image and video generation, TTS, Whisper, embeddings, reranking and OCR, paid per use via x402 or an API key.", "desc_en": "GPU inference API for LLMs, image and video generation, TTS, Whisper, embeddings, reranking and OCR, paid per use via x402 or an API key.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gpu-bridge/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gpu-bridge/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gliana-labs-gliana-mcp", "name": "Gliana-Labs/gliana-mcp", "name_en": "Gliana-Labs/gliana-mcp", "desc": "Pay-per-call AI models (chat, image, video, music, speech) plus web scraping, screenshots, OCR, face matching and crypto/FX rates, paid via HTTP 402 in USDC.", "desc_en": "Pay-per-call AI models (chat, image, video, music, speech) plus web scraping, screenshots, OCR, face matching and crypto/FX rates, paid via HTTP 402 in USDC.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Gliana-Labs/gliana-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Gliana-Labs/gliana-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-glenngillen-mcpmcp-server", "name": "glenngillen/mcpmcp-server", "name_en": "glenngillen/mcpmcp-server", "desc": "Lists MCP servers so you can ask your client which ones could improve your daily workflow.", "desc_en": "Lists MCP servers so you can ask your client which ones could improve your daily workflow.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/glenngillen/mcpmcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/glenngillen/mcpmcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gamaze-labs-hicortex", "name": "gamaze-labs/hicortex", "name_en": "gamaze-labs/hicortex", "desc": "Shared memory for fleets of AI agents: nightly self-correction rewrites stale facts and merges duplicates, and recall is injected into coding agents' prompts.", "desc_en": "Shared memory for fleets of AI agents: nightly self-correction rewrites stale facts and merges duplicates, and recall is injected into coding agents' prompts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gamaze-labs/hicortex", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gamaze-labs/hicortex", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-entire-vc-evc-spark-mcp", "name": "entire-vc/evc-spark-mcp", "name_en": "entire-vc/evc-spark-mcp", "desc": "Search a curated catalog of AI agents, skills, prompts, bundles and MCP connectors.", "desc_en": "Search a curated catalog of AI agents, skills, prompts, bundles and MCP connectors.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/entire-vc/evc-spark-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/entire-vc/evc-spark-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-proofpane-releases", "name": "Proofpane/releases", "name_en": "Proofpane/releases", "desc": "MCP governance proxy: allow, deny or human-approval policy gates, DLP redaction and cost caps, with tool calls recorded to a hash-chained, signed audit log.", "desc_en": "MCP governance proxy: allow, deny or human-approval policy gates, DLP redaction and cost caps, with tool calls recorded to a hash-chained, signed audit log.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Proofpane/releases", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Proofpane/releases", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-duaraghav8-mcpjungle", "name": "duaraghav8/MCPJungle", "name_en": "duaraghav8/MCPJungle", "desc": "Self-hosted MCP server registry for enterprise AI agents.", "desc_en": "Self-hosted MCP server registry for enterprise AI agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/duaraghav8/MCPJungle", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/duaraghav8/MCPJungle", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-depwire-depwire", "name": "depwire/depwire", "name_en": "depwire/depwire", "desc": "Dependency graphs for TypeScript, JavaScript, Python, Go, Rust and C, with arc diagram visualization, health scoring, dead code detection and a temporal graph.", "desc_en": "Dependency graphs for TypeScript, JavaScript, Python, Go, Rust and C, with arc diagram visualization, health scoring, dead code detection and a temporal graph.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/depwire/depwire", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/depwire/depwire", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-data-everything-mcp-server-templates", "name": "Data-Everything/mcp-server-templates", "name_en": "Data-Everything/mcp-server-templates", "desc": "Unified MCP platform that connects many apps, tools and services behind one interface.", "desc_en": "Unified MCP platform that connects many apps, tools and services behind one interface.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Data-Everything/mcp-server-templates", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Data-Everything/mcp-server-templates", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-continuum-ai-corp-orcarouter-mcp-server", "name": "Continuum-AI-Corp/orcarouter-mcp-server", "name_en": "Continuum-AI-Corp/orcarouter-mcp-server", "desc": "Browse LLMs from OpenAI, Anthropic, Google, Qwen, DeepSeek and others with live prices, and route chat completions through the OrcaRouter gateway with fallback.", "desc_en": "Browse LLMs from OpenAI, Anthropic, Google, Qwen, DeepSeek and others with live prices, and route chat completions through the OrcaRouter gateway with fallback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Continuum-AI-Corp/orcarouter-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Continuum-AI-Corp/orcarouter-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-cinderwright-ai-cinderwright-api", "name": "cinderwright-ai/cinderwright-api", "name_en": "cinderwright-ai/cinderwright-api", "desc": "x402 discovery hub: search engine for agent services, paid with USDC on Base via x402.", "desc_en": "x402 discovery hub: search engine for agent services, paid with USDC on Base via x402.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cinderwright-ai/cinderwright-api", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cinderwright-ai/cinderwright-api", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-cgrtml-reasongate", "name": "cgrtml/reasongate", "name_en": "cgrtml/reasongate", "desc": "Provenance gateway for stdio MCP servers that blocks tool calls whose destination or content came from an untrusted tool result, with schema-derived policies.", "desc_en": "Provenance gateway for stdio MCP servers that blocks tool calls whose destination or content came from an untrusted tool result, with schema-derived policies.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cgrtml/reasongate", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cgrtml/reasongate", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-bridgenode-ai-bridgenode-mcp", "name": "bridgenode-ai/bridgenode-mcp", "name_en": "bridgenode-ai/bridgenode-mcp", "desc": "Pay-per-request AI chat completions across supported models via x402, with automatic Solana USDC payments and fail-closed spending caps.", "desc_en": "Pay-per-request AI chat completions across supported models via x402, with automatic Solana USDC payments and fail-closed spending caps.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bridgenode-ai/bridgenode-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bridgenode-ai/bridgenode-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-blockrunai-blockrun-mcp", "name": "blockrunai/blockrun-mcp", "name_en": "blockrunai/blockrun-mcp", "desc": "Access AI models such as GPT-5, Claude, Gemini, Grok and DeepSeek, paid per use via x402 micropayments in USDC on Base.", "desc_en": "Access AI models such as GPT-5, Claude, Gemini, Grok and DeepSeek, paid per use via x402 micropayments in USDC on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/blockrunai/blockrun-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/blockrunai/blockrun-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-avotsai-avots-mcp", "name": "avotsai/avots-mcp", "name_en": "avotsai/avots-mcp", "desc": "Multi-model AI media generation (image, video, audio, face swap, talking avatars) plus chat with models such as Claude, GPT, Gemini and DeepSeek.", "desc_en": "Multi-model AI media generation (image, video, audio, face swap, talking avatars) plus chat with models such as Claude, GPT, Gemini and DeepSeek.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/avotsai/avots-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/avotsai/avots-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-adw0rd-awesome-mcp-tools-mcp", "name": "adw0rd/awesome-mcp-tools-mcp", "name_en": "adw0rd/awesome-mcp-tools-mcp", "desc": "Search the awesome-mcp.tools catalog of MCP servers from an MCP client or the terminal.", "desc_en": "Search the awesome-mcp.tools catalog of MCP servers from an MCP client or the terminal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/adw0rd/awesome-mcp-tools-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/adw0rd/awesome-mcp-tools-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-askbudi-roundtable", "name": "askbudi/roundtable", "name_en": "askbudi/roundtable", "desc": "Meta-MCP server that unifies AI coding assistants (Codex, Claude Code, Cursor, Gemini) behind one interface with automatic discovery and zero configuration.", "desc_en": "Meta-MCP server that unifies AI coding assistants (Codex, Claude Code, Cursor, Gemini) behind one interface with automatic discovery and zero configuration.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/askbudi/roundtable", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/askbudi/roundtable", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-ariekogan-ateam-mcp", "name": "ariekogan/ateam-mcp", "name_en": "ariekogan/ateam-mcp", "desc": "Build, validate and deploy multi-agent AI solutions on the ADAS platform: design skills with tools and manage the solution lifecycle.", "desc_en": "Build, validate and deploy multi-agent AI solutions on the ADAS platform: design skills with tools and manage the solution lifecycle.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ariekogan/ateam-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ariekogan/ateam-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-arikusi-deepseek-mcp-server", "name": "arikusi/deepseek-mcp-server", "name_en": "arikusi/deepseek-mcp-server", "desc": "DeepSeek AI chat and reasoning with multi-turn sessions, function calling, thinking mode and cost tracking.", "desc_en": "DeepSeek AI chat and reasoning with multi-turn sessions, function calling, thinking mode and cost tracking.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/arikusi/deepseek-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/arikusi/deepseek-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-rhein1-agoragentic-integrations", "name": "rhein1/agoragentic-integrations", "name_en": "rhein1/agoragentic-integrations", "desc": "Agent-to-agent marketplace where AI agents discover, invoke and pay for other agents' services using USDC on Base.", "desc_en": "Agent-to-agent marketplace where AI agents discover, invoke and pay for other agents' services using USDC on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rhein1/agoragentic-integrations", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rhein1/agoragentic-integrations", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-rightonpar-llc-mesh-connector", "name": "RightOnPar-LLC/mesh-connector", "name_en": "RightOnPar-LLC/mesh-connector", "desc": "MeshMarket agent-to-agent capability exchange: agents browse, self-onboard, rent memory, reasoning and safety per call, and publish their own tools.", "desc_en": "MeshMarket agent-to-agent capability exchange: agents browse, self-onboard, rent memory, reasoning and safety per call, and publish their own tools.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/RightOnPar-LLC/mesh-connector", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/RightOnPar-LLC/mesh-connector", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-reefapi-reefapi-mcp", "name": "reefapi/reefapi-mcp", "name_en": "reefapi/reefapi-mcp", "desc": "Live web data as clean JSON: search engines, social media, e-commerce (Amazon, eBay, Etsy), real estate, jobs, travel, news, finance and company intel.", "desc_en": "Live web data as clean JSON: search engines, social media, e-commerce (Amazon, eBay, Etsy), real estate, jobs, travel, news, finance and company intel.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/reefapi/reefapi-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/reefapi/reefapi-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-api7-aisix", "name": "api7/aisix", "name_en": "api7/aisix", "desc": "Self-hosted MCP gateway fronting upstream servers with per-tool access control, guardrails, rate limits and usage logs; also proxies LLM and A2A agent traffic.", "desc_en": "Self-hosted MCP gateway fronting upstream servers with per-tool access control, guardrails, rate limits and usage logs; also proxies LLM and A2A agent traffic.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/api7/aisix", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/api7/aisix", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-aisa-public-aisa-mcp-server", "name": "AIsa-public/AIsa-mcp-server", "name_en": "AIsa-public/AIsa-mcp-server", "desc": "Search, inspect and run data APIs for SEO and AI visibility, finance, social, web search, sales and agent mail through a few meta-tools, with spending caps.", "desc_en": "Search, inspect and run data APIs for SEO and AI visibility, finance, social, web search, sales and agent mail through a few meta-tools, with spending caps.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AIsa-public/AIsa-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AIsa-public/AIsa-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-alepha188838884-context-firewall", "name": "Alepha188838884/context-firewall", "name_en": "Alepha188838884/context-firewall", "desc": "Local MCP proxy that merges downstream servers behind a few meta-tools with progressive discovery and compresses large tool outputs, with full output on demand.", "desc_en": "Local MCP proxy that merges downstream servers behind a few meta-tools with progressive discovery and compresses large tool outputs, with full output on demand.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Alepha188838884/context-firewall", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Alepha188838884/context-firewall", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-alexar76-aimarket-plugins", "name": "alexar76/aimarket-plugins", "name_en": "alexar76/aimarket-plugins", "desc": "AIMarket Hub plugin that packages AIMarket capabilities as self-hosted MCP servers with a Docker image, manifest and client config.", "desc_en": "AIMarket Hub plugin that packages AIMarket capabilities as self-hosted MCP servers with a Docker image, manifest and client config.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexar76/aimarket-plugins", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexar76/aimarket-plugins", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-work90210-apifold", "name": "Work90210/APIFold", "name_en": "Work90210/APIFold", "desc": "Turn any REST API into a hosted MCP server, with ready-made public servers for GitHub, Stripe, Slack, OpenAI, Notion and more.", "desc_en": "Turn any REST API into a hosted MCP server, with ready-made public servers for GitHub, Stripe, Slack, OpenAI, Notion and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Work90210/APIFold", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Work90210/APIFold", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-alexanderclapp-clirank-mcp-server", "name": "alexanderclapp/clirank-mcp-server", "name_en": "alexanderclapp/clirank-mcp-server", "desc": "CLIRank API intelligence for coding agents: discover, compare and get recommendations for APIs scored on agent-friendliness.", "desc_en": "CLIRank API intelligence for coding agents: discover, compare and get recommendations for APIs scored on agent-friendliness.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexanderclapp/clirank-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexanderclapp/clirank-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-getanyapi-com-mcp", "name": "getanyapi-com/mcp", "name_en": "getanyapi-com/mcp", "desc": "AnyAPI: scraping and data APIs for social media, search results, Google Maps, e-commerce and web data, with normalized JSON and automatic provider failover.", "desc_en": "AnyAPI: scraping and data APIs for social media, search results, Google Maps, e-commerce and web data, with normalized JSON and automatic provider failover.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/getanyapi-com/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/getanyapi-com/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-garasegae-aiskillstore", "name": "garasegae/aiskillstore", "name_en": "garasegae/aiskillstore", "desc": "Skill marketplace where AI agents discover, purchase and integrate skills.", "desc_en": "Skill marketplace where AI agents discover, purchase and integrate skills.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/garasegae/aiskillstore", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/garasegae/aiskillstore", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-aidevelopers2-remoteopenclaw-mcp", "name": "aidevelopers2/remoteopenclaw-mcp", "name_en": "aidevelopers2/remoteopenclaw-mcp", "desc": "Search the Remote OpenClaw directory of MCP servers, agent skills and plugins for names, links and install commands; also available as a CLI.", "desc_en": "Search the Remote OpenClaw directory of MCP servers, agent skills and plugins for names, links and install commands; also available as a CLI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aidevelopers2/remoteopenclaw-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aidevelopers2/remoteopenclaw-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-agenthotspot-agenthotspot-mcp", "name": "AgentHotspot", "name_en": "AgentHotspot", "desc": "Search, integrate and monetize MCP connectors on the AgentHotspot marketplace.", "desc_en": "Search, integrate and monetize MCP connectors on the AgentHotspot marketplace.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AgentHotspot/agenthotspot-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AgentHotspot/agenthotspot-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-doggychip-agentforge", "name": "doggychip/agentforge", "name_en": "doggychip/agentforge", "desc": "Self-hostable API gateway and marketplace for AI agents with one API key, REST and streaming access, and health monitoring.", "desc_en": "Self-hostable API gateway and marketplace for AI agents with one API key, REST and streaming access, and health monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/doggychip/agentforge", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/doggychip/agentforge", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gzchenhao-openhire", "name": "gzchenhao/openhire", "name_en": "gzchenhao/openhire", "desc": "Job search over employer ATS APIs (Greenhouse, Lever, Ashby, Beisen) with freshness verification, ghost-job scoring and apply links; matching runs client-side.", "desc_en": "Job search over employer ATS APIs (Greenhouse, Lever, Ashby, Beisen) with freshness verification, ghost-job scoring and apply links; matching runs client-side.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gzchenhao/openhire", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gzchenhao/openhire", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-espadaw-agent47", "name": "espadaw/Agent47", "name_en": "espadaw/Agent47", "desc": "Job aggregator for AI agents across platforms such as x402, RentAHuman and Virtuals.", "desc_en": "Job aggregator for AI agents across platforms such as x402, RentAHuman and Virtuals.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/espadaw/Agent47", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/espadaw/Agent47", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-phonguit22-nostrpulse-full", "name": "PHONGUIT22/nostrpulse-full", "name_en": "PHONGUIT22/nostrpulse-full", "desc": "Agent-to-agent (A2A) commerce framework using Nostr NIP-90 and Cashu eCash micro-settlements.", "desc_en": "Agent-to-agent (A2A) commerce framework using Nostr NIP-90 and Cashu eCash micro-settlements.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PHONGUIT22/nostrpulse-full", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PHONGUIT22/nostrpulse-full", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-elisymlabs-elisym", "name": "elisymlabs/elisym", "name_en": "elisymlabs/elisym", "desc": "AI agent discovery and marketplace on Nostr with Solana payments (SOL, USDC): NIP-89 discovery, NIP-90 jobs, NIP-44 encryption and on-chain micropayments.", "desc_en": "AI agent discovery and marketplace on Nostr with Solana payments (SOL, USDC): NIP-89 discovery, NIP-90 jobs, NIP-44 encryption and on-chain micropayments.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/elisymlabs/elisym", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/elisymlabs/elisym", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-agentbodegastore-agentbodega", "name": "agentbodegastore/agentbodega", "name_en": "agentbodegastore/agentbodega", "desc": "Live catalog of x402-payable HTTP tools from AgentBodega: search, public data, social media, status checks, media conversion and agent-readiness checks.", "desc_en": "Live catalog of x402-payable HTTP tools from AgentBodega: search, public data, social media, status checks, media conversion and agent-readiness checks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/agentbodegastore/agentbodega", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/agentbodegastore/agentbodega", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-aganium-agenium", "name": "Aganium/agenium", "name_en": "Aganium/agenium", "desc": "Bridge MCP servers to the agent:// network so other agents can discover and call their tools, with DNS-like identity, mTLS, trust scores and capability search.", "desc_en": "Bridge MCP servers to the agent:// network so other agents can discover and call their tools, with DNS-like identity, mTLS, trust scores and capability search.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Aganium/agenium", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Aganium/agenium", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-tadas-github-a2asearch-mcp", "name": "tadas-github/a2asearch-mcp", "name_en": "tadas-github/a2asearch-mcp", "desc": "Search a directory of MCP servers, AI agents, CLI tools and agent skills.", "desc_en": "Search a directory of MCP servers, AI agents, CLI tools and agent skills.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tadas-github/a2asearch-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tadas-github/a2asearch-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-szp2005-llm-prices-cn", "name": "szp2005/llm-prices-cn", "name_en": "szp2005/llm-prices-cn", "desc": "Daily-verified dataset of LLM API prices for Chinese and global models, with live price queries and token cost estimation.", "desc_en": "Daily-verified dataset of LLM API prices for Chinese and global models, with live price queries and token cost estimation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/szp2005/llm-prices-cn", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/szp2005/llm-prices-cn", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-minia2auk-minia2a-mcp", "name": "minia2auk/minia2a-mcp", "name_en": "minia2auk/minia2a-mcp", "desc": "Pay-per-call x402 gateway for agent tools: crypto and DeFi data, web scraping, AI inference, CAPTCHA solving, token security, DNS/WHOIS and gas monitoring.", "desc_en": "Pay-per-call x402 gateway for agent tools: crypto and DeFi data, web scraping, AI inference, CAPTCHA solving, token security, DNS/WHOIS and gas monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/minia2auk/minia2a-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/minia2auk/minia2a-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-mcpqueen-mcpqueen", "name": "mcpqueen/mcpqueen", "name_en": "mcpqueen/mcpqueen", "desc": "Graded MCP registry: live-probes remote servers from the MCP Registry (initialization, tool listing, schema quality, latency, provenance) and publishes grades.", "desc_en": "Graded MCP registry: live-probes remote servers from the MCP Registry (initialization, tool listing, schema quality, latency, provenance) and publishes grades.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mcpqueen/mcpqueen", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mcpqueen/mcpqueen", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-gtcc777-pulsenetwork-mcp", "name": "GTCC777/pulsenetwork-mcp", "name_en": "GTCC777/pulsenetwork-mcp", "desc": "Pay-per-call x402 intelligence APIs on Base and Solana: finance, crypto, legal, immigration, healthcare costs, real estate, tax, climate, sports and science.", "desc_en": "Pay-per-call x402 intelligence APIs on Base and Solana: finance, crypto, legal, immigration, healthcare costs, real estate, tax, climate, sports and science.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GTCC777/pulsenetwork-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GTCC777/pulsenetwork-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-forgemeshlabs-utility-grid-mcp", "name": "forgemeshlabs/utility-grid-mcp", "name_en": "forgemeshlabs/utility-grid-mcp", "desc": "Search and call utility APIs for OCR, image, audio, web, math, conversion and geodata, paid per call with x402 USDC on Base.", "desc_en": "Search and call utility APIs for OCR, image, audio, web, math, conversion and geodata, paid per call with x402 USDC on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forgemeshlabs/utility-grid-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forgemeshlabs/utility-grid-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-8randonpickart5-alderpost-mcp", "name": "8randonpickart5/alderpost-mcp", "name_en": "8randonpickart5/alderpost-mcp", "desc": "Intelligence endpoints for security, company, threat, compliance, sales, sports, property and health data, paid via x402 micropayments on Base.", "desc_en": "Intelligence endpoints for security, company, threat, compliance, sales, sports, property and health data, paid via x402 micropayments on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/8randonpickart5/alderpost-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/8randonpickart5/alderpost-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-2s-io-sdk", "name": "2s-io/sdk", "name_en": "2s-io/sdk", "desc": "Pay-per-call x402 API: geocoding, weather, earthquakes, patents, US case law, Federal Register, scientific papers, DNS/WHOIS, OFAC screening and Census data.", "desc_en": "Pay-per-call x402 API: geocoding, weather, earthquakes, patents, US case law, Federal Register, scientific papers, DNS/WHOIS, OFAC screening and Census data.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/2s-io/sdk", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/2s-io/sdk", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-1mcp-app-agent", "name": "1mcp/agent", "name_en": "1mcp/agent", "desc": "Aggregates multiple MCP servers into one unified server.", "desc_en": "Aggregates multiple MCP servers into one unified server.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/1mcp-app/agent", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/1mcp-app/agent", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-forgemeshlabs-anomaly-mcp", "name": "forgemeshlabs/anomaly-mcp", "name_en": "forgemeshlabs/anomaly-mcp", "desc": "Real-time anomaly detection with NASA-derived sequence mining across blockchain, mempool, stablecoin depeg, aviation and GitHub signals, paid via x402 on Base.", "desc_en": "Real-time anomaly detection with NASA-derived sequence mining across blockchain, mempool, stablecoin depeg, aviation and GitHub signals, paid via x402 on Base.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forgemeshlabs/anomaly-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forgemeshlabs/anomaly-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-forgemeshlabs-coinopai-mcp", "name": "forgemeshlabs/coinopai-mcp", "name_en": "forgemeshlabs/coinopai-mcp", "desc": "Paid crypto intelligence via x402 on Base: preflight checks, trade decisions audited against real prices, risk state, signal history and automation search.", "desc_en": "Paid crypto intelligence via x402 on Base: preflight checks, trade decisions audited against real prices, risk state, signal history and automation search.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/forgemeshlabs/coinopai-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/forgemeshlabs/coinopai-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-daedalusdevelopmentgroup-ddg-agent-payable-services", "name": "daedalusdevelopmentgroup/ddg-agent-payable-services", "name_en": "daedalusdevelopmentgroup/ddg-agent-payable-services", "desc": "Pay-per-call x402 tools (utilities, DNS/WHOIS, blockchain RPC, market and DEX data, prediction markets, security audits) plus an OpenAI-compatible LLM gateway.", "desc_en": "Pay-per-call x402 tools (utilities, DNS/WHOIS, blockchain RPC, market and DEX data, prediction markets, security audits) plus an OpenAI-compatible LLM gateway.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/daedalusdevelopmentgroup/ddg-agent-payable-services", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/daedalusdevelopmentgroup/ddg-agent-payable-services", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-neoninnovationlab-neon-mcp-gateway", "name": "@neoninnovationlab/neon-mcp-gateway", "name_en": "@neoninnovationlab/neon-mcp-gateway", "desc": "Edge firewall for exposing internal PostgreSQL databases and APIs to AI agents with strict validation.", "desc_en": "Edge firewall for exposing internal PostgreSQL databases and APIs to AI agents with strict validation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/neoninnovationlab/neon-mcp-gateway", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/neoninnovationlab/neon-mcp-gateway", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-bothireagent-bothiremcpserver", "name": "BotHireAgent/BotHireMCPServer", "name_en": "BotHireAgent/BotHireMCPServer", "desc": "BotHire agent-to-agent hiring marketplace: search agents and skills by capability and trust score, read live demand, and settle in USDT or USDC across chains.", "desc_en": "BotHire agent-to-agent hiring marketplace: search agents and skills by capability and trust score, read live demand, and settle in USDT or USDC across chains.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BotHireAgent/BotHireMCPServer", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BotHireAgent/BotHireMCPServer", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-team886-findagent-mcp", "name": "team886/findagent-mcp", "name_en": "team886/findagent-mcp", "desc": "Marketplace of vetted agents with automated security scans plus human review, credential-to-host binding and sandboxed hosted code with default-deny egress.", "desc_en": "Marketplace of vetted agents with automated security scans plus human review, credential-to-host binding and sandboxed hosted code with default-deny egress.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/team886/findagent-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/team886/findagent-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-garphengate-moltline-mcp", "name": "GarphenGate/moltline-mcp", "name_en": "GarphenGate/moltline-mcp", "desc": "Bridge to Moltline Studio's hosted MCP servers: code review, agent governance, business math, regulatory deadlines, crypto tax lots, routing and optimization.", "desc_en": "Bridge to Moltline Studio's hosted MCP servers: code review, agent governance, business math, regulatory deadlines, crypto tax lots, routing and optimization.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GarphenGate/moltline-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GarphenGate/moltline-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-402signalhq-402signal", "name": "402signalhq/402signal", "name_en": "402signalhq/402signal", "desc": "Checks and validates live x402 payment routes across Base, Solana and Algorand.", "desc_en": "Checks and validates live x402 payment routes across Base, Solana and Algorand.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/402signalhq/402signal", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/402signalhq/402signal", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:39.655Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-homarr-labs-dashboard-icons", "name": "homarr-labs/dashboard-icons", "name_en": "homarr-labs/dashboard-icons", "desc": "3,400+ curated icons and logos for dashboards and AI agents. SVG, PNG and WEBP on a free CDN, plus an MCP server for Claude Code, Codex, ChatGPT, Cursor, Hermes and OpenClaw.", "desc_en": "3,400+ curated icons and logos for dashboards and AI agents. SVG, PNG and WEBP on a free CDN, plus an MCP server for Claude Code, Codex, ChatGPT, Cursor, Hermes and OpenClaw.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/homarr-labs/dashboard-icons.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/homarr-labs/dashboard-icons", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-agents", "claude-code", "codex", "dashboard", "dashboard-icons", "TypeScript" ], "features_en": [ "ai-agents", "claude-code", "codex", "dashboard", "dashboard-icons", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 7 }, { "id": "mcp-xerj-org-xerj", "name": "xerj-org/xerj", "name_en": "xerj-org/xerj", "desc": "Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.", "desc_en": "Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/xerj-org/xerj.git", "endpointType": "mcp", "category": "search", "provenance": "https://github.com/xerj-org/xerj", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent-memory", "ai-agents", "bm25", "claude-code", "cli", "Rust" ], "features_en": [ "agent-memory", "ai-agents", "bm25", "claude-code", "cli", "Rust" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 7 }, { "id": "mcp-dayuanjiang-next-ai-draw-io", "name": "DayuanJiang/next-ai-draw-io", "name_en": "DayuanJiang/next-ai-draw-io", "desc": "Draw and edit draw.io diagrams by chatting with an AI. Web app, desktop app, and an MCP server for Claude Code, Cursor, Codex and VS Code.", "desc_en": "Draw and edit draw.io diagrams by chatting with an AI. Web app, desktop app, and an MCP server for Claude Code, Cursor, Codex and VS Code.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/DayuanJiang/next-ai-draw-io.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/DayuanJiang/next-ai-draw-io", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "architecture-diagram", "claude-code", "diagram-generator", "diagrams", "TypeScript" ], "features_en": [ "ai", "architecture-diagram", "claude-code", "diagram-generator", "diagrams", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 11 }, { "id": "mcp-trailhq-trail-code", "name": "trailhq/Trail-Code", "name_en": "trailhq/Trail-Code", "desc": "Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.", "desc_en": "Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/trailhq/Trail-Code.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/trailhq/Trail-Code", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-agents", "anthropic", "claude-code", "cli", "code-graph", "TypeScript" ], "features_en": [ "ai-agents", "anthropic", "claude-code", "cli", "code-graph", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-ccfos-nightingale", "name": "ccfos/nightingale", "name_en": "ccfos/nightingale", "desc": "Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.", "desc_en": "Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/ccfos/nightingale.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ccfos/nightingale", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "alerting", "alertmanager", "clickhouse", "golang", "logs", "Go" ], "features_en": [ "alerting", "alertmanager", "clickhouse", "golang", "logs", "Go" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-osaurus-ai-osaurus", "name": "osaurus-ai/osaurus", "name_en": "osaurus-ai/osaurus", "desc": "Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.", "desc_en": "Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/osaurus-ai/osaurus.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/osaurus-ai/osaurus", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "anthropic", "apple-foundation-models", "apple-intelligence", "apple-neural-engine", "llm", "Swift" ], "features_en": [ "anthropic", "apple-foundation-models", "apple-intelligence", "apple-neural-engine", "llm", "Swift" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-firerpa-lamda", "name": "firerpa/lamda", "name_en": "firerpa/lamda", "desc": "Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed for multi-device clusters and engineered deployments.", "desc_en": "Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed for multi-device clusters and engineered deployments.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/firerpa/lamda.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/firerpa/lamda", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "adb", "agents", "ai", "ai-agents", "android", "Python" ], "features_en": [ "adb", "agents", "ai", "ai-agents", "android", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-openstatushq-openstatus", "name": "openstatusHQ/openstatus", "name_en": "openstatusHQ/openstatus", "desc": "Open-source status page, incident response and uptime monitoring", "desc_en": "Open-source status page, incident response and uptime monitoring", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/openstatusHQ/openstatus.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/openstatusHQ/openstatus", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "alerting", "incident-management", "mcp", "mcp-server", "monitoring", "TypeScript" ], "features_en": [ "alerting", "incident-management", "mcp", "mcp-server", "monitoring", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-apify-apify-mcp-server", "name": "apify/apify-mcp-server", "name_en": "apify/apify-mcp-server", "desc": "The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.", "desc_en": "The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/apify/apify-mcp-server.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/apify/apify-mcp-server", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agents", "ai", "mcp", "mcp-server", "TypeScript" ], "features_en": [ "agents", "ai", "mcp", "mcp-server", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-awslabs-mcp", "name": "awslabs/mcp", "name_en": "awslabs/mcp", "desc": "Open source MCP Servers for AWS", "desc_en": "Open source MCP Servers for AWS", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/awslabs/mcp.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/awslabs/mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "aws", "mcp", "mcp-client", "mcp-clients", "mcp-host", "Python" ], "features_en": [ "aws", "mcp", "mcp-client", "mcp-clients", "mcp-host", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 27 }, { "id": "mcp-agents365-ai-drawio-skill", "name": "Agents365-ai/drawio-skill", "name_en": "Agents365-ai/drawio-skill", "desc": "Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.", "desc_en": "Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/Agents365-ai/drawio-skill.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Agents365-ai/drawio-skill", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent-skills", "architecture", "architecture-diagram", "asyncapi", "bpmn", "Python" ], "features_en": [ "agent-skills", "architecture", "architecture-diagram", "asyncapi", "bpmn", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mcp-use-mcp-use", "name": "mcp-use/mcp-use", "name_en": "mcp-use/mcp-use", "desc": "The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.", "desc_en": "The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/mcp-use/mcp-use.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/mcp-use/mcp-use", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent-plugins", "agentic-framework", "ai", "apps-sdk", "chatgpt", "TypeScript" ], "features_en": [ "agent-plugins", "agentic-framework", "ai", "apps-sdk", "chatgpt", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-xinnan-tech-xiaozhi-esp32-server", "name": "xinnan-tech/xiaozhi-esp32-server", "name_en": "xinnan-tech/xiaozhi-esp32-server", "desc": "本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.", "desc_en": "本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/xinnan-tech/xiaozhi-esp32-server.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/xinnan-tech/xiaozhi-esp32-server", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "dify", "esp32", "mcp-server", "xiaozhi", "xiaozhi-ai", "JavaScript" ], "features_en": [ "dify", "esp32", "mcp-server", "xiaozhi", "xiaozhi-ai", "JavaScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-0xjacky-nginx-ui", "name": "0xJacky/nginx-ui", "name_en": "0xJacky/nginx-ui", "desc": "Yet another WebUI for Nginx", "desc_en": "Yet another WebUI for Nginx", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/0xJacky/nginx-ui.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/0xJacky/nginx-ui", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "code-completion", "copilot", "cron", "docker", "go", "Go" ], "features_en": [ "code-completion", "copilot", "cron", "docker", "go", "Go" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-tadata-org-fastapi-mcp", "name": "tadata-org/fastapi_mcp", "name_en": "tadata-org/fastapi_mcp", "desc": "Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!", "desc_en": "Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/tadata-org/fastapi_mcp.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/tadata-org/fastapi_mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "authentication", "authorization", "claude", "cursor", "Python" ], "features_en": [ "ai", "authentication", "authorization", "claude", "cursor", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-0x4m4-hexstrike-ai", "name": "0x4m4/hexstrike-ai", "name_en": "0x4m4/hexstrike-ai", "desc": "HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.", "desc_en": "HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/0x4m4/hexstrike-ai.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/0x4m4/hexstrike-ai", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "0x4m4", "ai", "ai-agents", "ai-cybersecurity", "ai-hacking", "Python" ], "features_en": [ "0x4m4", "ai", "ai-agents", "ai-cybersecurity", "ai-hacking", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-openbyteinc-quantdinger", "name": "OpenByteInc/QuantDinger", "name_en": "OpenByteInc/QuantDinger", "desc": "Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.", "desc_en": "Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/OpenByteInc/QuantDinger.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/OpenByteInc/QuantDinger", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "backtesting", "binance", "crypto", "exchange", "Python" ], "features_en": [ "agent", "backtesting", "binance", "crypto", "exchange", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mrexodia-ida-pro-mcp", "name": "mrexodia/ida-pro-mcp", "name_en": "mrexodia/ida-pro-mcp", "desc": "AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.", "desc_en": "AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/mrexodia/ida-pro-mcp.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/mrexodia/ida-pro-mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "aiagent", "binary-analysis", "ida-plugin", "ida-pro", "Python" ], "features_en": [ "ai", "aiagent", "binary-analysis", "ida-plugin", "ida-pro", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-joeanamier-xhs-downloader", "name": "JoeanAmier/XHS-Downloader", "name_en": "JoeanAmier/XHS-Downloader", "desc": "小红书（XiaoHongShu、RedNote）链接提取/作品采集工具", "desc_en": "小红书（XiaoHongShu、RedNote）链接提取/作品采集工具", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/JoeanAmier/XHS-Downloader.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/JoeanAmier/XHS-Downloader", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "api", "docker", "downloader", "fastapi", "httpx", "JavaScript" ], "features_en": [ "api", "docker", "downloader", "fastapi", "httpx", "JavaScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-modelcontextprotocol-typescript-sdk", "name": "modelcontextprotocol/typescript-sdk", "name_en": "modelcontextprotocol/typescript-sdk", "desc": "The official TypeScript SDK for Model Context Protocol servers and clients", "desc_en": "The official TypeScript SDK for Model Context Protocol servers and clients", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/modelcontextprotocol/typescript-sdk.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/modelcontextprotocol/typescript-sdk", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "mcp", "mcp-client", "mcp-server", "typescript", "TypeScript" ], "features_en": [ "mcp", "mcp-client", "mcp-server", "typescript", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-yusufkaraaslan-skill-seekers", "name": "yusufkaraaslan/Skill_Seekers", "name_en": "yusufkaraaslan/Skill_Seekers", "desc": "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection", "desc_en": "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/yusufkaraaslan/Skill_Seekers.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yusufkaraaslan/Skill_Seekers", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-tools", "ast-parser", "automation", "claude-ai", "claude-skills", "Python" ], "features_en": [ "ai-tools", "ast-parser", "automation", "claude-ai", "claude-skills", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-open-metadata-openmetadata", "name": "open-metadata/OpenMetadata", "name_en": "open-metadata/OpenMetadata", "desc": "The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.", "desc_en": "The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/open-metadata/OpenMetadata.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/open-metadata/OpenMetadata", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "context", "context-layer", "data-catalog", "data-collaboration", "data-contracts", "TypeScript" ], "features_en": [ "context", "context-layer", "data-catalog", "data-collaboration", "data-contracts", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-budtmo-docker-android", "name": "budtmo/docker-android", "name_en": "budtmo/docker-android", "desc": "Android in docker solution with noVNC supported, video recording, mcp server and AI-agent", "desc_en": "Android in docker solution with noVNC supported, video recording, mcp server and AI-agent", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/budtmo/docker-android.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/budtmo/docker-android", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-agent", "android", "android-emulator", "aws", "azure", "Python" ], "features_en": [ "ai-agent", "android", "android-emulator", "aws", "azure", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-xpzouying-xiaohongshu-mcp", "name": "xpzouying/xiaohongshu-mcp", "name_en": "xpzouying/xiaohongshu-mcp", "desc": "MCP for xiaohongshu.com", "desc_en": "MCP for xiaohongshu.com", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/xpzouying/xiaohongshu-mcp.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/xpzouying/xiaohongshu-mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "mcp", "mcp-server", "xiaohongshu-mcp", "Go" ], "features_en": [ "mcp", "mcp-server", "xiaohongshu-mcp", "Go" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-triggerdotdev-trigger-dev", "name": "triggerdotdev/trigger.dev", "name_en": "triggerdotdev/trigger.dev", "desc": "Trigger.dev – build and deploy durable AI agents and workflows", "desc_en": "Trigger.dev – build and deploy durable AI agents and workflows", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/triggerdotdev/trigger.dev.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/triggerdotdev/trigger.dev", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "ai-agent-framework", "ai-agents", "automation", "background-jobs", "TypeScript" ], "features_en": [ "ai", "ai-agent-framework", "ai-agents", "automation", "background-jobs", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-wanshuiyin-auto-claude-code-research-in-sleep", "name": "wanshuiyin/Auto-claude-code-research-in-sleep", "name_en": "wanshuiyin/Auto-claude-code-research-in-sleep", "desc": "ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.", "desc_en": "ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-research", "ai-tools", "aris", "autonomous-agent", "claude", "Python" ], "features_en": [ "ai-research", "ai-tools", "aris", "autonomous-agent", "claude", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-microsoft-mcp-for-beginners", "name": "microsoft/mcp-for-beginners", "name_en": "microsoft/mcp-for-beginners", "desc": "This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.", "desc_en": "This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/microsoft/mcp-for-beginners.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/microsoft/mcp-for-beginners", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "csharp", "java", "javascript", "javascript-applications", "mcp", "Jupyter Notebook" ], "features_en": [ "csharp", "java", "javascript", "javascript-applications", "mcp", "Jupyter Notebook" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-nukeop-nuclear", "name": "nukeop/nuclear", "name_en": "nukeop/nuclear", "desc": "Streaming music player that finds free music for you", "desc_en": "Streaming music player that finds free music for you", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/nukeop/nuclear.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/nukeop/nuclear", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "desktop-app", "linux", "mac", "mcp", "mcp-server", "TypeScript" ], "features_en": [ "desktop-app", "linux", "mac", "mcp", "mcp-server", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-evil0ctal-douyin-tiktok-download-api", "name": "Evil0ctal/Douyin_TikTok_Download_API", "name_en": "Evil0ctal/Douyin_TikTok_Download_API", "desc": "🚀 自托管的抖音、TikTok、B 站数据采集与无水印视频下载 API，支持 AI agent 通过 MCP 调用与离线语音转文字，Docker 一键部署。| Self-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.", "desc_en": "🚀 自托管的抖音、TikTok、B 站数据采集与无水印视频下载 API，支持 AI agent 通过 MCP 调用与离线语音转文字，Docker 一键部署。| Self-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/Evil0ctal/Douyin_TikTok_Download_API.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Evil0ctal/Douyin_TikTok_Download_API", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "bilibili", "crawler", "data-collection", "douyin", "douyin-api", "Python" ], "features_en": [ "bilibili", "crawler", "data-collection", "douyin", "douyin-api", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-modelscope-funasr", "name": "modelscope/FunASR", "name_en": "modelscope/FunASR", "desc": "Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.", "desc_en": "Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/modelscope/FunASR.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/modelscope/FunASR", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "asr", "audio", "chinese", "emotion-recognition", "funasr", "Python" ], "features_en": [ "asr", "audio", "chinese", "emotion-recognition", "funasr", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-1panel-dev-maxkb", "name": "1Panel-dev/MaxKB", "name_en": "1Panel-dev/MaxKB", "desc": "🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。", "desc_en": "🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/1Panel-dev/MaxKB.git", "endpointType": "mcp", "category": "search", "provenance": "https://github.com/1Panel-dev/MaxKB", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "agentic-ai", "chatbot", "deepseek-r1", "knowledgebase", "Python" ], "features_en": [ "agent", "agentic-ai", "chatbot", "deepseek-r1", "knowledgebase", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-czlonkowski-n8n-mcp", "name": "czlonkowski/n8n-mcp", "name_en": "czlonkowski/n8n-mcp", "desc": "A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you", "desc_en": "A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/czlonkowski/n8n-mcp.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/czlonkowski/n8n-mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "mcp", "mcp-server", "n8n", "workflows", "TypeScript" ], "features_en": [ "mcp", "mcp-server", "n8n", "workflows", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-modelcontextprotocol-python-sdk", "name": "modelcontextprotocol/python-sdk", "name_en": "modelcontextprotocol/python-sdk", "desc": "The official Python SDK for Model Context Protocol servers and clients", "desc_en": "The official Python SDK for Model Context Protocol servers and clients", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/modelcontextprotocol/python-sdk.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/modelcontextprotocol/python-sdk", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "mcp", "mcp-client", "mcp-server", "python", "Python" ], "features_en": [ "mcp", "mcp-client", "mcp-server", "python", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-pascalorg-editor", "name": "pascalorg/editor", "name_en": "pascalorg/editor", "desc": "Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.", "desc_en": "Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/pascalorg/editor.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/pascalorg/editor", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "3d", "agent-skills", "ai-agents", "architecture", "bim", "TypeScript" ], "features_en": [ "3d", "agent-skills", "ai-agents", "architecture", "bim", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-activepieces-activepieces", "name": "activepieces/activepieces", "name_en": "activepieces/activepieces", "desc": "AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents", "desc_en": "AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/activepieces/activepieces.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/activepieces/activepieces", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-agent", "ai-agent-tools", "ai-agents", "ai-agents-framework", "mcp", "TypeScript" ], "features_en": [ "ai-agent", "ai-agent-tools", "ai-agents", "ai-agents-framework", "mcp", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-mksglu-context-mode", "name": "mksglu/context-mode", "name_en": "mksglu/context-mode", "desc": "Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.", "desc_en": "Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/mksglu/context-mode.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/mksglu/context-mode", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "antigravity", "claude", "claude-code", "claude-code-hooks", "claude-code-plugins", "TypeScript" ], "features_en": [ "antigravity", "claude", "claude-code", "claude-code-hooks", "claude-code-plugins", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-assafelovic-gpt-researcher", "name": "assafelovic/gpt-researcher", "name_en": "assafelovic/gpt-researcher", "desc": "An autonomous agent that conducts deep research on any data using any LLM providers", "desc_en": "An autonomous agent that conducts deep research on any data using any LLM providers", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/assafelovic/gpt-researcher.git", "endpointType": "mcp", "category": "search", "provenance": "https://github.com/assafelovic/gpt-researcher", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "ai", "automation", "deepresearch", "llms", "Python" ], "features_en": [ "agent", "ai", "automation", "deepresearch", "llms", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-oraios-serena", "name": "oraios/serena", "name_en": "oraios/serena", "desc": "A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent", "desc_en": "A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/oraios/serena.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/oraios/serena", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "ai", "ai-coding", "claude", "claude-code", "Python" ], "features_en": [ "agent", "ai", "ai-coding", "claude", "claude-code", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-github-github-mcp-server", "name": "github/github-mcp-server", "name_en": "github/github-mcp-server", "desc": "GitHub's official MCP Server", "desc_en": "GitHub's official MCP Server", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/github/github-mcp-server.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/github/github-mcp-server", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "github", "mcp", "mcp-server", "Go" ], "features_en": [ "github", "mcp", "mcp-server", "Go" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-bytedance-ui-tars-desktop", "name": "bytedance/UI-TARS-desktop", "name_en": "bytedance/UI-TARS-desktop", "desc": "The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra", "desc_en": "The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/bytedance/UI-TARS-desktop.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/bytedance/UI-TARS-desktop", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "agent-tars", "browser-use", "computer-use", "cowork", "TypeScript" ], "features_en": [ "agent", "agent-tars", "browser-use", "computer-use", "cowork", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-reactive-resume-reactive-resume", "name": "reactive-resume/reactive-resume", "name_en": "reactive-resume/reactive-resume", "desc": "A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!", "desc_en": "A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/reactive-resume/reactive-resume.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/reactive-resume/reactive-resume", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent-skills", "ai", "dsh-plugin", "hacktoberfest", "javascript", "TypeScript" ], "features_en": [ "agent-skills", "ai", "dsh-plugin", "hacktoberfest", "javascript", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-deusdata-codebase-memory-mcp", "name": "DeusData/codebase-memory-mcp", "name_en": "DeusData/codebase-memory-mcp", "desc": "Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.", "desc_en": "Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/DeusData/codebase-memory-mcp.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/DeusData/codebase-memory-mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "aider", "ast", "claude-code", "code-analysis", "code-intelligence", "C" ], "features_en": [ "aider", "ast", "claude-code", "code-analysis", "code-intelligence", "C" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-chromedevtools-chrome-devtools-mcp", "name": "ChromeDevTools/chrome-devtools-mcp", "name_en": "ChromeDevTools/chrome-devtools-mcp", "desc": "Chrome DevTools for coding agents", "desc_en": "Chrome DevTools for coding agents", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/ChromeDevTools/chrome-devtools-mcp.git", "endpointType": "mcp", "category": "web", "provenance": "https://github.com/ChromeDevTools/chrome-devtools-mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "browser", "chrome", "chrome-devtools", "debugging", "devtools", "TypeScript" ], "features_en": [ "browser", "chrome", "chrome-devtools", "debugging", "devtools", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-upstash-context7", "name": "upstash/context7", "name_en": "upstash/context7", "desc": "Context7 Platform -- Up-to-date docs for AI agents", "desc_en": "Context7 Platform -- Up-to-date docs for AI agents", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/upstash/context7.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/upstash/context7", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "llm", "mcp", "mcp-server", "vibe-coding", "TypeScript" ], "features_en": [ "llm", "mcp", "mcp-server", "vibe-coding", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-sansan0-trendradar", "name": "sansan0/TrendRadar", "name_en": "sansan0/TrendRadar", "desc": "⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ，数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。", "desc_en": "⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ，数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/sansan0/TrendRadar.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/sansan0/TrendRadar", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "bark", "data-analysis", "docker", "hot-news", "Python" ], "features_en": [ "ai", "bark", "data-analysis", "docker", "hot-news", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-ruvnet-ruflo", "name": "ruvnet/ruflo", "name_en": "ruvnet/ruflo", "desc": "🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated", "desc_en": "🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/ruvnet/ruflo.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/ruvnet/ruflo", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agentic-ai", "agentic-framework", "agentic-workflow", "agents", "ai-agents", "TypeScript" ], "features_en": [ "agentic-ai", "agentic-framework", "agentic-workflow", "agents", "ai-agents", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-d4vinci-scrapling", "name": "D4Vinci/Scrapling", "name_en": "D4Vinci/Scrapling", "desc": "🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev", "desc_en": "🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/D4Vinci/Scrapling.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/D4Vinci/Scrapling", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "ai-scraping", "automation", "crawler", "crawling", "Python" ], "features_en": [ "ai", "ai-scraping", "automation", "crawler", "crawling", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-koala73-worldmonitor", "name": "koala73/worldmonitor", "name_en": "koala73/worldmonitor", "desc": "Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface", "desc_en": "Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/koala73/worldmonitor.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/koala73/worldmonitor", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent", "ai", "dashboard", "geopolitics", "mcp", "TypeScript" ], "features_en": [ "agent", "ai", "dashboard", "geopolitics", "mcp", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-google-gemini-gemini-cli", "name": "google-gemini/gemini-cli", "name_en": "google-gemini/gemini-cli", "desc": "An open-source AI agent that brings the power of Gemini directly into your terminal.", "desc_en": "An open-source AI agent that brings the power of Gemini directly into your terminal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/google-gemini/gemini-cli.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/google-gemini/gemini-cli", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "ai-agents", "cli", "gemini", "gemini-api", "TypeScript" ], "features_en": [ "ai", "ai-agents", "cli", "gemini", "gemini-api", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "mcp-n8n-io-n8n", "name": "n8n-io/n8n", "name_en": "n8n-io/n8n", "desc": "Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.", "desc_en": "Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/n8n-io/n8n.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/n8n-io/n8n", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:38.404Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai", "apis", "automation", "cli", "data-flow", "TypeScript" ], "features_en": [ "ai", "apis", "automation", "cli", "data-flow", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 26 }, { "id": "deepseek-tokenizer", "name": "DeepSeek Token 估算", "name_en": "DeepSeek Token Estimation", "desc": "估算文本的 token 数量，用于计算 API 调用成本和控制上下文窗口", "desc_en": "Estimate token count for text, used for cost calculation and context window control", "input": "{ model, messages[] } or '{ text }'", "input_en": "", "output": "{ total_tokens }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/tokenize", "endpointType": "http", "category": "dev", "provenance": "https://api-docs.deepseek.com/quick_start/pricing", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Token 计数", "成本估算" ], "features_en": [ "Token Counting", "Cost Estimation" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-models-list", "name": "DeepSeek 模型列表", "name_en": "DeepSeek Model List", "desc": "获取当前可用的 DeepSeek 模型列表及其属性", "desc_en": "List currently available DeepSeek models and their properties", "input": "GET /models", "input_en": "", "output": "{ data: [{ id, object, owned_by }] }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/models", "endpointType": "http", "category": "ai", "provenance": "https://api-docs.deepseek.com/api/list-models", "trustSource": 0.85, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "模型发现", "版本查询" ], "features_en": [ "Model Discovery", "Version Query" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-file-upload", "name": "DeepSeek 文件上传", "name_en": "DeepSeek File Upload", "desc": "上传文件至 DeepSeek 平台供模型处理（支持 txt/pdf/docx/pptx/xlsx 等）", "desc_en": "Upload files to DeepSeek platform for model processing (txt/pdf/docx/pptx/xlsx etc.)", "input": "{ file: multipart, purpose: 'batch' }", "input_en": "", "output": "{ id, object, bytes, created_at, filename }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/files", "endpointType": "http", "category": "data", "provenance": "https://api-docs.deepseek.com/api/file-upload", "trustSource": 0.75, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "文件处理", "多格式支持", "批处理" ], "features_en": [ "File Processing", "Multi-format", "Batch Processing" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-function-calling", "name": "DeepSeek 函数调用", "name_en": "DeepSeek Function Calling", "desc": "让模型输出结构化的函数调用参数，连接到外部工具或 API", "desc_en": "Let models output structured function call arguments to connect external tools/APIs", "input": "{ model, messages[], tools[], tool_choice? }", "input_en": "", "output": "{ choices[].message.tool_calls[] }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/chat/completions", "endpointType": "http", "category": "ai", "provenance": "https://api-docs.deepseek.com/guides/function_calling", "trustSource": 0.8, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "工具调用", "结构化输出", "多函数并行" ], "features_en": [ "Tool Calling", "Structured Output", "Parallel Function Calls" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-fim-completion", "name": "DeepSeek FIM 代码补全", "name_en": "DeepSeek FIM Code Completion", "desc": "代码填充（Fill-in-the-Middle），在光标位置插入/替换代码片段", "desc_en": "Fill-in-the-Middle code completion: insert or replace code at cursor position", "input": "{ model, prompt, suffix, max_tokens? }", "input_en": "", "output": "{ choices[], usage }", "output_en": "", "endpoint": "https://api.deepseek.com/beta/completions", "endpointType": "http", "category": "dev", "provenance": "https://api-docs.deepseek.com/api/create-completion", "trustSource": 0.75, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "代码填充", "FIM", "上下文感知" ], "features_en": [ "Fill-in-the-Middle", "FIM", "Context-Aware" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-reasoner", "name": "DeepSeek 推理器", "name_en": "DeepSeek Reasoner", "desc": "使用 DeepSeek-R1 进行深度推理，自动生成思维链（Chain of Thought）", "desc_en": "Use DeepSeek-R1 for deep reasoning with automatic chain-of-thought generation", "input": "{ model: 'deepseek-reasoner', messages[] }", "input_en": "", "output": "{ choices[], reasoning_content }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/chat/completions", "endpointType": "http", "category": "ai", "provenance": "https://api-docs.deepseek.com/guides/reasoning_model", "trustSource": 0.8, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "深度推理", "思维链", "数学推导", "逻辑分析" ], "features_en": [ "Deep Reasoning", "Chain of Thought", "Math Derivation", "Logic Analysis" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "deepseek-chat-completion", "name": "DeepSeek 对话补全", "name_en": "DeepSeek Chat Completion", "desc": "调用 DeepSeek-V3/R1 模型进行多轮对话、文本生成、代码生成", "desc_en": "Call DeepSeek-V3/R1 models for multi-turn chat, text generation, and code generation", "input": "{ model, messages[], temperature?, max_tokens?, stream? }", "input_en": "", "output": "{ choices[], usage }", "output_en": "", "endpoint": "https://api.deepseek.com/v1/chat/completions", "endpointType": "http", "category": "ai", "provenance": "https://api-docs.deepseek.com/api/create-chat-completion", "trustSource": 0.8, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-26T12:09:36.566Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "多轮对话", "文本生成", "代码生成", "流式输出", "JSON Mode" ], "features_en": [ "Multi-turn Chat", "Text Generation", "Code Generation", "Streaming", "JSON Mode" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 45 }, { "id": "mcp-swih-ritoko", "name": "Swih/ritoko", "name_en": "Swih/ritoko", "desc": "Save browser, HTTP API and MCP workflows as JSON, then replay CSV/XLSX batches with explicit result checks and a local journal for crash recovery.", "desc_en": "Save browser, HTTP API and MCP workflows as JSON, then replay CSV/XLSX batches with explicit result checks and a local journal for crash recovery.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Swih/ritoko", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Swih/ritoko", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-snapblock-hai-browser", "name": "SnapBlock/hai-browser", "name_en": "SnapBlock/hai-browser", "desc": "Let coding agents drive VS Code's Integrated Browser alongside you: snapshots, mouse and keyboard, forms, tabs, screenshots, console and network logs, a visible agent cursor, and click-to-source for React (Vite, Next.js).", "desc_en": "Let coding agents drive VS Code's Integrated Browser alongside you: snapshots, mouse and keyboard, forms, tabs, screenshots, console and network logs, a visible agent cursor, and click-to-source for React (Vite, Next.js).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SnapBlock/hai-browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SnapBlock/hai-browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-savvy-tech-sphere-usable-browser-agent-free", "name": "Savvy-Tech-Sphere/usable-browser-agent-free", "name_en": "Savvy-Tech-Sphere/usable-browser-agent-free", "desc": "MCP server plus Firefox add-on that lets your agent work in your real, logged-in Firefox: accessibility snapshots with stable element refs, logins filled by alias from a local vault, hardened mode by default. Free for personal use.", "desc_en": "MCP server plus Firefox add-on that lets your agent work in your real, logged-in Firefox: accessibility snapshots with stable element refs, logins filled by alias from a local vault, hardened mode by default. Free for personal use.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Savvy-Tech-Sphere/usable-browser-agent-free", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Savvy-Tech-Sphere/usable-browser-agent-free", "trustSource": 0.5, "trustUsage": 2, "trustUsageRate": 0.06, "trustSuccess": 1, "trustRisk": 0.5, "trustTime": 0.55, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 2, "uncertainty": 0.77 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-solvegate-solvegate-mcp", "name": "SolveGate/solvegate-mcp", "name_en": "SolveGate/solvegate-mcp", "desc": "Detect and solve Cloudflare Turnstile challenges: inspect whether a page uses Turnstile or another CAPTCHA and get a solved token when needed.", "desc_en": "Detect and solve Cloudflare Turnstile challenges: inspect whether a page uses Turnstile or another CAPTCHA and get a solved token when needed.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/SolveGate/solvegate-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/SolveGate/solvegate-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-snapshot-site-snapshot-site-mcp", "name": "snapshot-site/snapshot-site-mcp", "name_en": "snapshot-site/snapshot-site-mcp", "desc": "Capture any URL as PNG, JPEG, WebP, PDF or HTML, diff page versions to catch visual regressions, and get AI page summaries.", "desc_en": "Capture any URL as PNG, JPEG, WebP, PDF or HTML, diff page versions to catch visual regressions, and get AI page summaries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/snapshot-site/snapshot-site-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/snapshot-site/snapshot-site-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-site-shot-site-shot-mcp", "name": "site-shot/site-shot-mcp", "name_en": "site-shot/site-shot-mcp", "desc": "Website screenshots via Chromium with full-page capture, country-specific proxies and automatic ad and cookie-banner removal.", "desc_en": "Website screenshots via Chromium with full-page capture, country-specific proxies and automatic ad and cookie-banner removal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/site-shot/site-shot-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/site-shot/site-shot-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-silbercue-public-browser", "name": "Silbercue/public-browser", "name_en": "Silbercue/public-browser", "desc": "Chrome automation over raw CDP with multiple tabs, cached accessibility-tree refs, server-side multi-step flow execution and a Python scripting API.", "desc_en": "Chrome automation over raw CDP with multiple tabs, cached accessibility-tree refs, server-side multi-step flow execution and a Python scripting API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Silbercue/public-browser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Silbercue/public-browser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-seleniumboot-selenium-mcp", "name": "seleniumboot/selenium-mcp", "name_en": "seleniumboot/selenium-mcp", "desc": "Selenium WebDriver automation with assertions and self-healing locators, plus code generation for Java, Python and C# test frameworks and CI pipelines.", "desc_en": "Selenium WebDriver automation with assertions and self-healing locators, plus code generation for Java, Python and C# test frameworks and CI pipelines.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/seleniumboot/selenium-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/seleniumboot/selenium-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-seleniumbase-seleniumbase", "name": "seleniumbase/SeleniumBase", "name_en": "seleniumbase/SeleniumBase", "desc": "Browser automation, testing and bot-detection bypass using SeleniumBase CDP Mode with Chromium, including click-based CAPTCHA solving.", "desc_en": "Browser automation, testing and bot-detection bypass using SeleniumBase CDP Mode with Chromium, including click-based CAPTCHA solving.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/seleniumbase/SeleniumBase", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/seleniumbase/SeleniumBase", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-screenshotscout-screenshotscout-mcp", "name": "screenshotscout/screenshotscout-mcp", "name_en": "screenshotscout/screenshotscout-mcp", "desc": "Capture web pages as images or PDFs with element targeting, device and viewport controls, location selection, page interactions and blocking options.", "desc_en": "Capture web pages as images or PDFs with element targeting, device and viewport controls, location selection, page interactions and blocking options.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/screenshotscout/screenshotscout-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/screenshotscout/screenshotscout-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-scrapeunblocker-scrapeunblocker-mcp", "name": "ScrapeUnblocker/scrapeunblocker-mcp", "name_en": "ScrapeUnblocker/scrapeunblocker-mcp", "desc": "Fetch web page HTML, AI-parsed JSON or Google results through the ScrapeUnblocker anti-bot API.", "desc_en": "Fetch web page HTML, AI-parsed JSON or Google results through the ScrapeUnblocker anti-bot API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ScrapeUnblocker/scrapeunblocker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ScrapeUnblocker/scrapeunblocker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-retio-ai-retio-pagemap", "name": "Retio-ai/pagemap", "name_en": "Retio-ai/pagemap", "desc": "Compress web page HTML into compact structured maps that preserve actionable elements, so agents can read and interact with pages using fewer tokens.", "desc_en": "Compress web page HTML into compact structured maps that preserve actionable elements, so agents can read and interact with pages using fewer tokens.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Retio-ai/Retio-pagemap", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Retio-ai/Retio-pagemap", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-recursechat-mcp-server-apple-shortcuts", "name": "recursechat/mcp-server-apple-shortcuts", "name_en": "recursechat/mcp-server-apple-shortcuts", "desc": "Integration with Apple Shortcuts.", "desc_en": "Integration with Apple Shortcuts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/recursechat/mcp-server-apple-shortcuts", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/recursechat/mcp-server-apple-shortcuts", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-reeinharddd-snapmcp", "name": "reeinharddd/snapmcp", "name_en": "reeinharddd/snapmcp", "desc": "Render terminal output, syntax-highlighted code, web pages, Markdown, HTML and git diffs as PNG, JPEG, PDF or GIF locally via Playwright.", "desc_en": "Render terminal output, syntax-highlighted code, web pages, Markdown, HTML and git diffs as PNG, JPEG, PDF or GIF locally via Playwright.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/reeinharddd/snapmcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/reeinharddd/snapmcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-realwigu-mcp-doctor", "name": "realwigu/mcp-doctor", "name_en": "realwigu/mcp-doctor", "desc": "Diagnostics for MCP servers: discover client configs, test connections, audit security issues and benchmark latency.", "desc_en": "Diagnostics for MCP servers: discover client configs, test connections, audit security issues and benchmark latency.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/realwigu/mcp-doctor", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/realwigu/mcp-doctor", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-rapiercraft-alterlab-mcp-server", "name": "RapierCraft/alterlab-mcp-server", "name_en": "RapierCraft/alterlab-mcp-server", "desc": "Web scraping, structured data extraction and screenshots with JavaScript rendering, residential proxy rotation and automatic retries.", "desc_en": "Web scraping, structured data extraction and screenshots with JavaScript rendering, residential proxy rotation and automatic retries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/RapierCraft/alterlab-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/RapierCraft/alterlab-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-kuvopllc-purroxy2", "name": "KuvopLLC/purroxy2", "name_en": "KuvopLLC/purroxy2", "desc": "Record actions on any website and replay them in headless Playwright, with encrypted credentials and AI-based selector healing.", "desc_en": "Record actions on any website and replay them in headless Playwright, with encrypted credentials and AI-based selector healing.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/KuvopLLC/purroxy2", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/KuvopLLC/purroxy2", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-prufa-dev-prufa-mcp", "name": "prufa-dev/prufa-mcp", "name_en": "prufa-dev/prufa-mcp", "desc": "Real-browser QA audits of a URL: broken signup, login and checkout flows, console errors, missing analytics, security headers, tap targets and accessibility.", "desc_en": "Real-browser QA audits of a URL: broken signup, login and checkout flows, console errors, missing analytics, security headers, tap targets and accessibility.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/prufa-dev/prufa-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/prufa-dev/prufa-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-23T10:56:22.258Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-tech-lead-bunny-agenteyes-mcp", "name": "tech-lead-bunny/agenteyes-mcp", "name_en": "tech-lead-bunny/agenteyes-mcp", "desc": "Give coding agents real eyes: one tool call returns a screenshot PNG plus the accessibility tree and page text; segment_height paginates long pages into readable tiles.", "desc_en": "Give coding agents real eyes: one tool call returns a screenshot PNG plus the accessibility tree and page text; segment_height paginates long pages into readable tiles.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tech-lead-bunny/agenteyes-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tech-lead-bunny/agenteyes-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-zzzjy765-ottersnap-mcp", "name": "zzzjy765/ottersnap-mcp", "name_en": "zzzjy765/ottersnap-mcp", "desc": "Glint Render web rendering and evidence API: screenshots, PDFs, OG images, monitoring, extraction and tamper-evident evidence capture.", "desc_en": "Glint Render web rendering and evidence API: screenshots, PDFs, OG images, monitoring, extraction and tamper-evident evidence capture.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/zzzjy765/ottersnap-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/zzzjy765/ottersnap-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-zumerlab-snapsurf", "name": "zumerlab/snapsurf", "name_en": "zumerlab/snapsurf", "desc": "Browser navigation and verification: compact semantic page digests, ranked text search, and typed diffs after each action with assertions.", "desc_en": "Browser navigation and verification: compact semantic page digests, ranked text search, and typed diffs after each action with assertions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/zumerlab/snapsurf", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/zumerlab/snapsurf", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-princegabriel-lgtm-freshcontext-mcp", "name": "PrinceGabriel-lgtm/freshcontext-mcp", "name_en": "PrinceGabriel-lgtm/freshcontext-mcp", "desc": "Real-time data from GitHub, Hacker News, Scholar, arXiv, YC, jobs, finance and package trends, with every result timestamped for freshness.", "desc_en": "Real-time data from GitHub, Hacker News, Scholar, arXiv, YC, jobs, finance and package trends, with every result timestamped for freshness.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/PrinceGabriel-lgtm/freshcontext-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/PrinceGabriel-lgtm/freshcontext-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-ymw0407-auth-fetch-mcp", "name": "ymw0407/auth-fetch-mcp", "name_en": "ymw0407/auth-fetch-mcp", "desc": "Fetch content from login-protected pages such as Notion, Google Docs, Jira and Confluence via a real browser login with persistent session caching.", "desc_en": "Fetch content from login-protected pages such as Notion, Google Docs, Jira and Confluence via a real browser login with persistent session caching.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ymw0407/auth-fetch-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ymw0407/auth-fetch-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-yinnho-aginxbrowser", "name": "yinnho/aginxbrowser", "name_en": "yinnho/aginxbrowser", "desc": "Chromium-free agent browser with built-in V8: tiered fetching, multi-engine search, screenshots, persistent login sessions and CDP access.", "desc_en": "Chromium-free agent browser with built-in V8: tiered fetching, multi-engine search, screenshots, persistent login sessions and CDP access.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/yinnho/aginxbrowser", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yinnho/aginxbrowser", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-xspadex-bilibili-mcp-git", "name": "xspadex/bilibili-mcp", "name_en": "xspadex/bilibili-mcp", "desc": "Fetch trending videos from Bilibili.", "desc_en": "Fetch trending videos from Bilibili.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/xspadex/bilibili-mcp.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/xspadex/bilibili-mcp.git", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-webdriverio-mcp", "name": "webdriverio/mcp", "name_en": "webdriverio/mcp", "desc": "Browser and mobile app automation with WebdriverIO: control browsers and automate native Android and iOS apps via WebDriver and Appium.", "desc_en": "Browser and mobile app automation with WebdriverIO: control browsers and automate native Android and iOS apps via WebDriver and Appium.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/webdriverio/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/webdriverio/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-vincentvella-devloop", "name": "vincentvella/devloop", "name_en": "vincentvella/devloop", "desc": "Drive a browser or Expo/React Native app alongside your dev server on one correlated timeline, lining up frontend errors with backend stack traces.", "desc_en": "Drive a browser or Expo/React Native app alongside your dev server on one correlated timeline, lining up frontend errors with backend stack traces.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/vincentvella/devloop", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/vincentvella/devloop", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-copperline-labs-rendex-mcp", "name": "copperline-labs/rendex-mcp", "name_en": "copperline-labs/rendex-mcp", "desc": "Render any URL or raw HTML as PNG, JPEG, WebP or PDF, with batch processing, geo-targeting and async webhooks.", "desc_en": "Render any URL or raw HTML as PNG, JPEG, WebP or PDF, with batch processing, geo-targeting and async webhooks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/copperline-labs/rendex-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/copperline-labs/rendex-mcp", "trustSource": 0.5, "trustUsage": 1, "trustUsageRate": 0, "trustSuccess": 1, "trustRisk": 0.5, "trustTime": 0.53, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 1, "uncertainty": 1 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 23 }, { "id": "mcp-user0856-snaprender-integrations-tree-main-mcp-server", "name": "User0856/snaprender-mcp", "name_en": "User0856/snaprender-mcp", "desc": "Capture websites as PNG, JPEG, WebP or PDF with device emulation, dark mode, ad blocking and cookie banner removal.", "desc_en": "Capture websites as PNG, JPEG, WebP or PDF with device emulation, dark mode, ad blocking and cookie banner removal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/User0856/snaprender-integrations/tree/main/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/User0856/snaprender-integrations/tree/main/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-trueoriginlabs-vibatchium", "name": "trueoriginlabs/vibatchium", "name_en": "trueoriginlabs/vibatchium", "desc": "Self-hosted stealth Chrome automation via Patchright: parallel persistent profiles, encrypted credential vault with 2FA, and prompt-injection scanning.", "desc_en": "Self-hosted stealth Chrome automation via Patchright: parallel persistent profiles, encrypted credential vault with 2FA, and prompt-injection scanning.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/trueoriginlabs/vibatchium", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/trueoriginlabs/vibatchium", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-sylin-org-ghostlight", "name": "sylin-org/ghostlight", "name_en": "sylin-org/ghostlight", "desc": "Visible local browser automation in your signed-in Chromium profile, with recovery and optional policy and audit controls.", "desc_en": "Visible local browser automation in your signed-in Chromium profile, with recovery and optional policy and audit controls.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sylin-org/ghostlight", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sylin-org/ghostlight", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-swimmwatch-cloakbrowser-mcp", "name": "swimmwatch/cloakbrowser-mcp", "name_en": "swimmwatch/cloakbrowser-mcp", "desc": "Playwright MCP-compatible browser automation using CloakBrowser Chromium.", "desc_en": "Playwright MCP-compatible browser automation using CloakBrowser Chromium.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/swimmwatch/cloakbrowser-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/swimmwatch/cloakbrowser-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-22T11:03:37.891Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 22 }, { "id": "mcp-yzfly-awesome-mcp-zh", "name": "yzfly/Awesome-MCP-ZH", "name_en": "yzfly/Awesome-MCP-ZH", "desc": "MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients", "desc_en": "MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/yzfly/Awesome-MCP-ZH.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/yzfly/Awesome-MCP-ZH", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-19T11:57:51.960Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "claude", "claude-mcp", "deepseek", "deepseek-mcp", "mcp" ], "features_en": [ "claude", "claude-mcp", "deepseek", "deepseek-mcp", "mcp" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 19 }, { "id": "mcp-servers-001", "name": "MCP Servers (filesystem)", "name_en": "modelcontextprotocol/servers", "desc": "Reference MCP server implementations, filesystem server entry", "desc_en": "Reference MCP server implementations, filesystem server entry", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "", "endpoint": "npx -y @modelcontextprotocol/server-filesystem C:\\Users\\wuguz", "endpointType": "mcp", "category": "mcp", "provenance": "https://github.com/modelcontextprotocol/servers", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.8, "lastUpdated": "2026-10-18", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [], "features_en": [], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-aiops-tools-proxmox-aiops", "name": "AIops-tools/Proxmox-AIops", "name_en": "AIops-tools/Proxmox-AIops", "desc": "Governed Proxmox VE operations — VM/LXC lifecycle, snapshots, cluster, storage, backup, and HA (43 tools) with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.", "desc_en": "Governed Proxmox VE operations — VM/LXC lifecycle, snapshots, cluster, storage, backup, and HA (43 tools) with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AIops-tools/Proxmox-AIops", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AIops-tools/Proxmox-AIops", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 3 }, { "id": "mcp-dockndevai-mcp-keycloak", "name": "dockndevai/mcp-keycloak", "name_en": "dockndevai/mcp-keycloak", "desc": "Keycloak multi-realm admin (users, clients, roles, groups) — safe-by-default access modes, realm allowlists, protected realms, delete gating, dry-run, and audit logging. `npx -y @dockndevai/mcp-keycloak`", "desc_en": "Keycloak multi-realm admin (users, clients, roles, groups) — safe-by-default access modes, realm allowlists, protected realms, delete gating, dry-run, and audit logging. `npx -y @dockndevai/mcp-keycloak`", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dockndevai/mcp-keycloak", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dockndevai/mcp-keycloak", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-alexbakers-mcp-ipfs", "name": "alexbakers/mcp-ipfs", "name_en": "alexbakers/mcp-ipfs", "desc": "Upload to and manipulate IPFS storage.", "desc_en": "Upload to and manipulate IPFS storage.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexbakers/mcp-ipfs", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexbakers/mcp-ipfs", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-anythink-cloud-anythink-cli", "name": "anythink-cloud/anythink-cli", "name_en": "anythink-cloud/anythink-cli", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/anythink-cloud/anythink-cli", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/anythink-cloud/anythink-cli", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-agentmetal-mcp", "name": "agentmetal/mcp", "name_en": "agentmetal/mcp", "desc": "Provision, SSH into, run commands on and manage Linux VPSes, paying with USDC over x402 or by card.", "desc_en": "Provision, SSH into, run commands on and manage Linux VPSes, paying with USDC over x402 or by card.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/agentmetal/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/agentmetal/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-aashari-mcp-server-aws-sso", "name": "aashari/mcp-server-aws-sso", "name_en": "aashari/mcp-server-aws-sso", "desc": "AWS SSO integration: log in, list accounts and roles, and run AWS CLI commands with temporary credentials.", "desc_en": "AWS SSO integration: log in, list accounts and roles, and run AWS CLI commands with temporary credentials.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aashari/mcp-server-aws-sso", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aashari/mcp-server-aws-sso", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-focus-gts-eds-mcp-server", "name": "Focus-GTS/eds-mcp-server", "name_en": "Focus-GTS/eds-mcp-server", "desc": "Manage Adobe Edge Delivery Services (AEM EDS): preview, publish, bulk operations, content, Core Web Vitals, 404 tracking, A/B experiments and redirects.", "desc_en": "Manage Adobe Edge Delivery Services (AEM EDS): preview, publish, bulk operations, content, Core Web Vitals, 404 tracking, A/B experiments and redirects.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Focus-GTS/eds-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Focus-GTS/eds-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-akacianl-basicdeploy-mcp", "name": "AkaciaNL/basicdeploy-mcp", "name_en": "AkaciaNL/basicdeploy-mcp", "desc": "Manage BasicDeploy containers, each with PostgreSQL, S3-compatible storage and a public URL: deploy apps, run commands, read logs and toggle always-on.", "desc_en": "Manage BasicDeploy containers, each with PostgreSQL, S3-compatible storage and a public URL: deploy apps, run commands, read logs and toggle always-on.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AkaciaNL/basicdeploy-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AkaciaNL/basicdeploy-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-aiops-tools-nutanix-aiops", "name": "AIops-tools/Nutanix-AIops", "name_en": "AIops-tools/Nutanix-AIops", "desc": "Governed Nutanix Prism Central operations: clusters, VMs, storage, networking, snapshots/DR, alerts and LCM, with audit logging, dry-run and rollback.", "desc_en": "Governed Nutanix Prism Central operations: clusters, VMs, storage, networking, snapshots/DR, alerts and LCM, with audit logging, dry-run and rollback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AIops-tools/Nutanix-AIops", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AIops-tools/Nutanix-AIops", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-adiosdotdev-mcp", "name": "adiosdotdev/mcp", "name_en": "adiosdotdev/mcp", "desc": "Manage Adios workspaces, previews, builds, logs, services and production deployments.", "desc_en": "Manage Adios workspaces, previews, builds, logs, services and production deployments.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/adiosdotdev/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/adiosdotdev/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-4everland-4everland-hosting-mcp", "name": "4everland/4everland-hosting-mcp", "name_en": "4everland/4everland-hosting-mcp", "desc": "Deploy AI-generated code to decentralized storage networks such as Greenfield, IPFS and Arweave via 4EVERLAND Hosting.", "desc_en": "Deploy AI-generated code to decentralized storage networks such as Greenfield, IPFS and Arweave via 4EVERLAND Hosting.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/4everland/4everland-hosting-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/4everland/4everland-hosting-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-dockndevai-mcp-openshift", "name": "dockndevai/mcp-openshift", "name_en": "dockndevai/mcp-openshift", "desc": "OpenShift and Kubernetes operations on pods, deployments, routes and builds, with access modes, namespace allowlists, dry-run and Secret redaction.", "desc_en": "OpenShift and Kubernetes operations on pods, deployments, routes and builds, with access modes, namespace allowlists, dry-run and Secret redaction.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dockndevai/mcp-openshift", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dockndevai/mcp-openshift", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-dockndevai-mcp-azure", "name": "dockndevai/mcp-azure", "name_en": "dockndevai/mcp-azure", "desc": "Azure Resource Manager inventory, tags and VM lifecycle management, with resource-group allowlists, delete gating and typed confirmation.", "desc_en": "Azure Resource Manager inventory, tags and VM lifecycle management, with resource-group allowlists, delete gating and typed confirmation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dockndevai/mcp-azure", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dockndevai/mcp-azure", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-dockndevai-mcp-oci", "name": "dockndevai/mcp-oci", "name_en": "dockndevai/mcp-oci", "desc": "Read-only Oracle Cloud (OCI) resource discovery, dependency mapping and reproducible Terraform generation, with secret redaction.", "desc_en": "Read-only Oracle Cloud (OCI) resource discovery, dependency mapping and reproducible Terraform generation, with secret redaction.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dockndevai/mcp-oci", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dockndevai/mcp-oci", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-aiops-tools-k8s-aiops", "name": "AIops-tools/K8s-AIops", "name_en": "AIops-tools/K8s-AIops", "desc": "Governed Kubernetes operations for k3s, EKS, GKE and AKS: workloads, jobs, config, storage, networking and rollouts, with audit logging, dry-run and rollback.", "desc_en": "Governed Kubernetes operations for k3s, EKS, GKE and AKS: workloads, jobs, config, storage, networking and rollouts, with audit logging, dry-run and rollback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AIops-tools/K8s-AIops", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AIops-tools/K8s-AIops", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-dockndevai-mcp-kubernetes", "name": "dockndevai/mcp-kubernetes", "name_en": "dockndevai/mcp-kubernetes", "desc": "Multi-cluster Kubernetes monitoring and operations with safe access modes, namespace allowlists, gated delete/apply/exec, dry-run and audit logging.", "desc_en": "Multi-cluster Kubernetes monitoring and operations with safe access modes, namespace allowlists, gated delete/apply/exec, dry-run and audit logging.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dockndevai/mcp-kubernetes", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dockndevai/mcp-kubernetes", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-capmonstercloud-capmonster-mcp-captcha-solver", "name": "CapMonsterCloud/capmonster-mcp-captcha-solver", "name_en": "CapMonsterCloud/capmonster-mcp-captcha-solver", "desc": "Identify CAPTCHA types and parameters, create solving tasks and retrieve results via the CapMonster Cloud API, with access to its docs.", "desc_en": "Identify CAPTCHA types and parameters, create solving tasks and retrieve results via the CapMonster Cloud API, with access to its docs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/CapMonsterCloud/capmonster-mcp-captcha-solver", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/CapMonsterCloud/capmonster-mcp-captcha-solver", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-17T10:04:26.789Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 17 }, { "id": "mcp-devlikeapro-waha", "name": "devlikeapro/waha", "name_en": "devlikeapro/waha", "desc": "WAHA - WhatsApp HTTP API (REST API) that you can configure in a click! Multiple engines: WEBJS (browser based), NOWEB (websocket nodejs), GOWS (websocket go), WPP (browser)", "desc_en": "WAHA - WhatsApp HTTP API (REST API) that you can configure in a click! Multiple engines: WEBJS (browser based), NOWEB (websocket nodejs), GOWS (websocket go), WPP (browser)", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/devlikeapro/waha.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/devlikeapro/waha", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-15T10:46:45.416Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-bot", "bot", "http-api", "mcp", "mcp-server", "TypeScript" ], "features_en": [ "ai-bot", "bot", "http-api", "mcp", "mcp-server", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-antonio-mello-ai-mcp-pfsense", "name": "antonio-mello-ai/mcp-pfsense", "name_en": "antonio-mello-ai/mcp-pfsense", "desc": "Manage pfSense firewalls: rules, DHCP leases, DNS overrides, gateway monitoring, ARP table and services, with two-step confirmation for destructive actions.", "desc_en": "Manage pfSense firewalls: rules, DHCP leases, DNS overrides, gateway monitoring, ARP table and services, with two-step confirmation for destructive actions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/antonio-mello-ai/mcp-pfsense", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/antonio-mello-ai/mcp-pfsense", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-14T11:04:43.876Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-arnstarn-mcp-server-spotinst", "name": "arnstarn/mcp-server-spotinst", "name_en": "arnstarn/mcp-server-spotinst", "desc": "Manage Spot.io (Spotinst) Ocean clusters, VNGs, Elastigroups, costs, right-sizing and logs across AWS and Azure accounts.", "desc_en": "Manage Spot.io (Spotinst) Ocean clusters, VNGs, Elastigroups, costs, right-sizing and logs across AWS and Azure accounts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/arnstarn/mcp-server-spotinst", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/arnstarn/mcp-server-spotinst", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-14T11:04:43.876Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-aparajithn-agent-deploy-dashboard-mcp", "name": "aparajithn/agent-deploy-dashboard-mcp", "name_en": "aparajithn/agent-deploy-dashboard-mcp", "desc": "Unified deployment dashboard for Vercel, Render, Railway and Fly.io: deploy status, logs, environment variables, rollbacks and health checks.", "desc_en": "Unified deployment dashboard for Vercel, Render, Railway and Fly.io: deploy status, logs, environment variables, rollbacks and health checks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aparajithn/agent-deploy-dashboard-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aparajithn/agent-deploy-dashboard-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-14T11:04:43.876Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 14 }, { "id": "mcp-maximhq-bifrost", "name": "maximhq/bifrost", "name_en": "maximhq/bifrost", "desc": "Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.", "desc_en": "Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/maximhq/bifrost.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/maximhq/bifrost", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-12T14:17:03.444Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-gateway", "gateway", "gateway-services", "generative-ai", "guardrails", "Go" ], "features_en": [ "ai-gateway", "gateway", "gateway-services", "generative-ai", "guardrails", "Go" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 12 }, { "id": "mcp-trailhq-graft", "name": "trailhq/Graft", "name_en": "trailhq/Graft", "desc": "Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.", "desc_en": "Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/trailhq/Graft.git", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/trailhq/Graft", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-12T14:17:03.444Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "ai-agents", "anthropic", "claude-code", "cli", "code-graph", "TypeScript" ], "features_en": [ "ai-agents", "anthropic", "claude-code", "cli", "code-graph", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 12 }, { "id": "mcp-alikarami-mikromcp", "name": "AliKarami/MikroMCP", "name_en": "AliKarami/MikroMCP", "desc": "Manage MikroTik RouterOS devices: interfaces, firewall, DHCP, DNS, routes, WireGuard, WiFi, BGP/OSPF and VLANs, with dry-run previews, RBAC and rollback.", "desc_en": "Manage MikroTik RouterOS devices: interfaces, firewall, DHCP, DNS, routes, WireGuard, WiFi, BGP/OSPF and VLANs, with dry-run previews, RBAC and rollback.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AliKarami/MikroMCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AliKarami/MikroMCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-09T12:29:41.337Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-albaker-group-cloudprice-mcp", "name": "Albaker-Group/cloudprice-mcp", "name_en": "Albaker-Group/cloudprice-mcp", "desc": "Compare compute, storage, managed Postgres, egress and GPU prices across AWS, Azure, GCP and OCI, plus FinOps tools for break-even, TCO and migration analysis.", "desc_en": "Compare compute, storage, managed Postgres, egress and GPU prices across AWS, Azure, GCP and OCI, plus FinOps tools for break-even, TCO and migration analysis.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Albaker-Group/cloudprice-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Albaker-Group/cloudprice-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-09T12:29:41.337Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-alexpota-cloudscope-mcp", "name": "alexpota/cloudscope-mcp", "name_en": "alexpota/cloudscope-mcp", "desc": "Azure cost management: spending analysis, forecasts, anomaly detection, budgets, optimization tips, idle resource detection and tag-based cost allocation.", "desc_en": "Azure cost management: spending analysis, forecasts, anomaly detection, budgets, optimization tips, idle resource detection and tag-based cost allocation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexpota/cloudscope-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexpota/cloudscope-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-09T12:29:41.337Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-antonio-mello-ai-mcp-proxmox", "name": "antonio-mello-ai/mcp-proxmox", "name_en": "antonio-mello-ai/mcp-proxmox", "desc": "Manage Proxmox VE clusters: VMs, containers, snapshots, templates, cloud-init, firewall and migrations, with two-step confirmation for destructive actions.", "desc_en": "Manage Proxmox VE clusters: VMs, containers, snapshots, templates, cloud-init, firewall and migrations, with two-step confirmation for destructive actions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/antonio-mello-ai/mcp-proxmox", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/antonio-mello-ai/mcp-proxmox", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-09T12:29:41.337Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-davidlandais-ovh-api-mcp", "name": "davidlandais/ovh-api-mcp", "name_en": "davidlandais/ovh-api-mcp", "desc": "Access the entire OVH API through search and execute tools that run sandboxed JavaScript (Code Mode).", "desc_en": "Access the entire OVH API through search and execute tools that run sandboxed JavaScript (Code Mode).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/davidlandais/ovh-api-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/davidlandais/ovh-api-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-cloudflare-mcp-server-cloudflare", "name": "cloudflare/mcp-server-cloudflare", "name_en": "cloudflare/mcp-server-cloudflare", "desc": "Integration with Cloudflare services including Workers, KV, R2 and D1.", "desc_en": "Integration with Cloudflare services including Workers, KV, R2 and D1.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cloudflare/mcp-server-cloudflare", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cloudflare/mcp-server-cloudflare", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-chaandannn-finopsmcp", "name": "chaandannn/finopsmcp", "name_en": "chaandannn/finopsmcp", "desc": "Local-first, read-only FinOps assistant: analyze AWS, Azure, GCP, Kubernetes, SaaS and AI bills, find waste and get fixes as pull requests.", "desc_en": "Local-first, read-only FinOps assistant: analyze AWS, Azure, GCP, Kubernetes, SaaS and AI bills, find waste and get fixes as pull requests.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/chaandannn/finopsmcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/chaandannn/finopsmcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-bright8192-esxi-mcp-server", "name": "bright8192/esxi-mcp-server", "name_en": "bright8192/esxi-mcp-server", "desc": "VMware ESXi and vCenter virtual machine management via a REST API.", "desc_en": "VMware ESXi and vCenter virtual machine management via a REST API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bright8192/esxi-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bright8192/esxi-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-blazingcdn-blazingcdn-mcp", "name": "BlazingCDN/BlazingCDN-MCP", "name_en": "BlazingCDN/BlazingCDN-MCP", "desc": "Manage BlazingCDN zones, cache purge and warm-up, traffic metrics, custom domains, cloud storage and Video CDN; read-only by default.", "desc_en": "Manage BlazingCDN zones, cache purge and warm-up, traffic metrics, custom domains, cloud storage and Video CDN; read-only by default.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/BlazingCDN/BlazingCDN-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/BlazingCDN/BlazingCDN-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-backblaze-labs-b2-mcp", "name": "backblaze-labs/b2-mcp", "name_en": "backblaze-labs/b2-mcp", "desc": "Manage Backblaze B2 buckets, files, keys, Object Lock and S3-compatible storage.", "desc_en": "Manage Backblaze B2 buckets, files, keys, Object Lock and S3-compatible storage.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/backblaze-labs/b2-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/backblaze-labs/b2-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-aliyun-alibaba-cloud-ops-mcp-server", "name": "aliyun/alibaba-cloud-ops-mcp-server", "name_en": "aliyun/alibaba-cloud-ops-mcp-server", "desc": "Operate Alibaba Cloud resources, including ECS, Cloud Monitor, OOS and other widely used cloud products.", "desc_en": "Operate Alibaba Cloud resources, including ECS, Cloud Monitor, OOS and other widely used cloud products.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/aliyun/alibaba-cloud-ops-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/aliyun/alibaba-cloud-ops-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-08T12:43:11.944Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-drop-to-run-drop2run-cli", "name": "Drop-to-run/drop2run-cli", "name_en": "Drop-to-run/drop2run-cli", "desc": "Publish pages written in chat or a local folder to a live HTTPS URL, with static hosting on Cloudflare's edge.", "desc_en": "Publish pages written in chat or a local folder to a live HTTPS URL, with static hosting on Cloudflare's edge.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Drop-to-run/drop2run-cli", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Drop-to-run/drop2run-cli", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-07T12:33:24.252Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 7 }, { "id": "mcp-cyclops-ui-mcp-cyclops", "name": "cyclops-ui/mcp-cyclops", "name_en": "cyclops-ui/mcp-cyclops", "desc": "Manage Kubernetes resources through the Cyclops abstraction.", "desc_en": "Manage Kubernetes resources through the Cyclops abstraction.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/cyclops-ui/mcp-cyclops", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/cyclops-ui/mcp-cyclops", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-07T12:33:24.252Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 7 }, { "id": "mcp-morluto-rea", "name": "morluto/rea", "name_en": "morluto/rea", "desc": "Reverse engineer anything with agents, from app behavior down to native binaries.", "desc_en": "Reverse engineer anything with agents, from app behavior down to native binaries.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/morluto/rea.git", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/morluto/rea", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-07T12:33:22.431Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agent-skills", "ai-agent-tools", "ai-agents", "binary-analysis", "cli", "TypeScript" ], "features_en": [ "agent-skills", "ai-agent-tools", "ai-agents", "binary-analysis", "cli", "TypeScript" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-feder-cr-invisible-playwright-mcp", "name": "feder-cr/invisible_playwright_mcp", "name_en": "feder-cr/invisible_playwright_mcp", "desc": "Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.", "desc_en": "Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output (tools/resources/prompts)", "output_en": "MCP protocol standard output (tools/resources/prompts)", "endpoint": "https://github.com/feder-cr/invisible_playwright_mcp.git", "endpointType": "mcp", "category": "web", "provenance": "https://github.com/feder-cr/invisible_playwright_mcp", "trustSource": 0.9, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-06T12:40:02.236Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "agentic-ai", "ai-agent", "ai-automation", "autonomous-agents", "browser", "Python" ], "features_en": [ "agentic-ai", "ai-agent", "ai-automation", "autonomous-agents", "browser", "Python" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 6 }, { "id": "mcp-poiuyhje-eqvps-mcp", "name": "Poiuyhje/eqvps-mcp", "name_en": "Poiuyhje/eqvps-mcp", "desc": "Rent and operate VPSes paid in USDC or USDT: register, provision and control power, hostname, root password, reinstalls, metrics and cancellation.", "desc_en": "Rent and operate VPSes paid in USDC or USDT: register, provision and control power, hostname, root password, reinstalls, metrics and cancellation.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Poiuyhje/eqvps-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Poiuyhje/eqvps-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-plopino-plopino-mcp", "name": "plopino/plopino-mcp", "name_en": "plopino/plopino-mcp", "desc": "Publish HTML written in chat or local files and folders to a public URL, preserving folder structure.", "desc_en": "Publish HTML written in chat or local files and folders to a public URL, preserving folder structure.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/plopino/plopino-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/plopino/plopino-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-pibblokto-cert-manager-mcp-server", "name": "pibblokto/cert-manager-mcp-server", "name_en": "pibblokto/cert-manager-mcp-server", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pibblokto/cert-manager-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pibblokto/cert-manager-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ofershap-mcp-server-s3", "name": "ofershap/mcp-server-s3", "name_en": "ofershap/mcp-server-s3", "desc": "AWS S3 operations: list buckets, browse objects, upload and download files, and generate presigned URLs.", "desc_en": "AWS S3 operations: list buckets, browse objects, upload and download files, and generate presigned URLs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ofershap/mcp-server-s3", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ofershap/mcp-server-s3", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ofershap-mcp-server-cloudflare", "name": "ofershap/mcp-server-cloudflare", "name_en": "ofershap/mcp-server-cloudflare", "desc": "Manage Cloudflare Workers, KV, R2, Pages, DNS and cache.", "desc_en": "Manage Cloudflare Workers, KV, R2, Pages, DNS and cache.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ofershap/mcp-server-cloudflare", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ofershap/mcp-server-cloudflare", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-openstack-kr-python-openstackmcp-server", "name": "openstack-kr/python-openstackmcp-server", "name_en": "openstack-kr/python-openstackmcp-server", "desc": "OpenStack cloud infrastructure management based on openstacksdk.", "desc_en": "OpenStack cloud infrastructure management based on openstacksdk.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/openstack-kr/python-openstackmcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/openstack-kr/python-openstackmcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-openpouch-openpouch", "name": "openpouch/openpouch", "name_en": "openpouch/openpouch", "desc": "App hosting for agents: deploy to a live URL, verify, view logs, inspect, roll back and delete, with human approval for production.", "desc_en": "App hosting for agents: deploy to a live URL, verify, view logs, inspect, roll back and delete, with human approval for production.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/openpouch/openpouch", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/openpouch/openpouch", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ni-c-wg-easy-mcp", "name": "ni-c/wg-easy-mcp", "name_en": "ni-c/wg-easy-mcp", "desc": "Administer a self-hosted wg-easy (WireGuard Easy) instance: manage VPN clients, fetch configs and QR codes, create one-time links and check server status.", "desc_en": "Administer a self-hosted wg-easy (WireGuard Easy) instance: manage VPN clients, fetch configs and QR codes, create one-time links and check server status.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ni-c/wg-easy-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ni-c/wg-easy-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-novence-ai-mcp", "name": "Novence-ai/mcp", "name_en": "Novence-ai/mcp", "desc": "Create, check, deploy and host static sites.", "desc_en": "Create, check, deploy and host static sites.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Novence-ai/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Novence-ai/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-nitin27may-ms-graph-mcp", "name": "nitin27may/ms-graph-mcp", "name_en": "nitin27may/ms-graph-mcp", "desc": "Microsoft Graph access to Outlook mail and calendar, Teams, OneDrive, SharePoint, OneNote, Planner and Entra ID.", "desc_en": "Microsoft Graph access to Outlook mail and calendar, Teams, OneDrive, SharePoint, OneNote, Planner and Entra ID.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nitin27may/ms-graph-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nitin27may/ms-graph-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ni-c-hetzner-dns-mcp", "name": "ni-c/hetzner-dns-mcp", "name_en": "ni-c/hetzner-dns-mcp", "desc": "Manage Hetzner DNS zones and records via the Hetzner Cloud API: RRSet CRUD, zonefile import/export, TTL and protection changes, and nameservers.", "desc_en": "Manage Hetzner DNS zones and records via the Hetzner Cloud API: RRSet CRUD, zonefile import/export, TTL and protection changes, and nameservers.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ni-c/hetzner-dns-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ni-c/hetzner-dns-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-nebula-block-data-nebulablock-mcp-server", "name": "Nebula-Block-Data/nebulablock-mcp-server", "name_en": "Nebula-Block-Data/nebulablock-mcp-server", "desc": "Access the full NebulaBlock API.", "desc_en": "Access the full NebulaBlock API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Nebula-Block-Data/nebulablock-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Nebula-Block-Data/nebulablock-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-mrostamii-rancher-mcp-server", "name": "mrostamii/rancher-mcp-server", "name_en": "mrostamii/rancher-mcp-server", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mrostamii/rancher-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mrostamii/rancher-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-mogacode-ma-infomaniak-mcp-agent", "name": "Mogacode-ma/infomaniak-mcp-agent", "name_en": "Mogacode-ma/infomaniak-mcp-agent", "desc": "Unofficial Infomaniak integration: web hosting, mail, kDrive, domains, DNS, FTP/SSH users and more, with two-phase commits and undo for destructive actions.", "desc_en": "Unofficial Infomaniak integration: web hosting, mail, kDrive, domains, DNS, FTP/SSH users and more, with two-phase commits and undo for destructive actions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Mogacode-ma/infomaniak-mcp-agent", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Mogacode-ma/infomaniak-mcp-agent", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-mctlhq-mctl-mcp", "name": "mctlhq/mctl-mcp", "name_en": "mctlhq/mctl-mcp", "desc": "Kubernetes management and automated GitOps.", "desc_en": "Kubernetes management and automated GitOps.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mctlhq/mctl-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mctlhq/mctl-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-mikusnuz-dynadot-mcp", "name": "mikusnuz/dynadot-mcp", "name_en": "mikusnuz/dynadot-mcp", "desc": "Dynadot domain registrar API: domain search, registration, DNS, contacts, transfers and marketplace.", "desc_en": "Dynadot domain registrar API: domain search, registration, DNS, contacts, transfers and marketplace.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mikusnuz/dynadot-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mikusnuz/dynadot-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-manusa-kubernetes-mcp-server", "name": "manusa/Kubernetes MCP Server", "name_en": "manusa/Kubernetes MCP Server", "desc": "Kubernetes and OpenShift management: CRUD operations on any resource plus specialized cluster tools.", "desc_en": "Kubernetes and OpenShift management: CRUD operations on any resource plus specialized cluster tools.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/manusa/kubernetes-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/manusa/kubernetes-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-luno-cms-mcp", "name": "luno-cms/mcp", "name_en": "luno-cms/mcp", "desc": "LUNO hosted backend platform: CMS, forms, auth and storage. Unrelated to the Luno cryptocurrency exchange.", "desc_en": "LUNO hosted backend platform: CMS, forms, auth and storage. Unrelated to the Luno cryptocurrency exchange.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/luno-cms/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/luno-cms/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-localstack-localstack-mcp-server", "name": "localstack/localstack-mcp-server", "name_en": "localstack/localstack-mcp-server", "desc": "Manage LocalStack local AWS environments: lifecycle operations, infrastructure deployments, log analysis, fault injection and state management.", "desc_en": "Manage LocalStack local AWS environments: lifecycle operations, infrastructure deployments, log analysis, fault injection and state management.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/localstack/localstack-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/localstack/localstack-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-lizard-build-lizard-mcp", "name": "lizard-build/lizard-mcp", "name_en": "lizard-build/lizard-mcp", "desc": "Deploy services on Lizard with managed Postgres, Redis and S3, logs and metrics, secrets, scaling and custom domains.", "desc_en": "Deploy services on Lizard with managed Postgres, Redis and S3, logs and metrics, secrets, scaling and custom domains.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lizard-build/lizard-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lizard-build/lizard-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-liveblocks-liveblocks-mcp-server", "name": "liveblocks/liveblocks-mcp-server", "name_en": "liveblocks/liveblocks-mcp-server", "desc": "Create, modify and delete Liveblocks rooms, threads, comments, notifications and more, with read access to Storage and Yjs.", "desc_en": "Create, modify and delete Liveblocks rooms, threads, comments, notifications and more, with read access to Storage and Yjs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/liveblocks/liveblocks-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/liveblocks/liveblocks-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-joachimbrindeau-domain-mcp", "name": "joachimBrindeau/domain-mcp", "name_en": "joachimBrindeau/domain-mcp", "desc": "Manage Dynadot domains, DNS, WHOIS, nameservers, transfers and aftermarket listings.", "desc_en": "Manage Dynadot domains, DNS, WHOIS, nameservers, transfers and aftermarket listings.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/joachimBrindeau/domain-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/joachimBrindeau/domain-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-labs64-netlicensing-mcp", "name": "Labs64/NetLicensing-MCP", "name_en": "Labs64/NetLicensing-MCP", "desc": "Manage the software licensing lifecycle in Labs64 NetLicensing through natural language.", "desc_en": "Manage the software licensing lifecycle in Labs64 NetLicensing through natural language.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Labs64/NetLicensing-MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Labs64/NetLicensing-MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-l337-org-docker-mcp", "name": "L337-org/docker-mcp", "name_en": "L337-org/docker-mcp", "desc": "Manage local or remote Docker daemons: containers, images, Compose, Swarm, Buildx, Scout and OCI registries, with read-only hosts for safe monitoring.", "desc_en": "Manage local or remote Docker daemons: containers, images, Compose, Swarm, Buildx, Scout and OCI registries, with read-only hosts for safe monitoring.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/L337-org/docker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/L337-org/docker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-shiped-app-shiped-mcp", "name": "shiped-app/shiped-mcp", "name_en": "shiped-app/shiped-mcp", "desc": "Deploy AI-generated HTML, CSS and JavaScript to a public HTTPS URL.", "desc_en": "Deploy AI-generated HTML, CSS and JavaScript to a public HTTPS URL.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/shiped-app/shiped-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/shiped-app/shiped-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-krovacloud-krova-node", "name": "krovacloud/krova-node", "name_en": "krovacloud/krova-node", "desc": "Provision and manage Krova Cloud Cubes (Firecracker microVMs with root access), plus custom domains, TCP port mappings and snapshots.", "desc_en": "Provision and manage Krova Cloud Cubes (Firecracker microVMs with root access), plus custom domains, TCP port mappings and snapshots.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/krovacloud/krova-node", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/krovacloud/krova-node", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-kaka-milan-22-kops", "name": "kaka-milan-22/kops", "name_en": "kaka-milan-22/kops", "desc": "Read-only kubectl with structured JSON output, hardcoded safe verbs, withheld Secret and ConfigMap values, and one-shot cluster triage and inventory.", "desc_en": "Read-only kubectl with structured JSON output, hardcoded safe verbs, withheld Secret and ConfigMap values, and one-shot cluster triage and inventory.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kaka-milan-22/kops", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kaka-milan-22/kops", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-johnneerdael-netskope-mcp", "name": "johnneerdael/netskope-mcp", "name_en": "johnneerdael/netskope-mcp", "desc": "Access Netskope Private Access components within an NPA environment, with setup details and usage examples.", "desc_en": "Access Netskope Private Access components within an NPA environment, with setup details and usage examples.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/johnneerdael/netskope-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/johnneerdael/netskope-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-john-broadway-proximo", "name": "john-broadway/proximo", "name_en": "john-broadway/proximo", "desc": "Manage Proxmox VE, Backup Server, Mail Gateway and Datacenter Manager with dry-run plans, snapshots and a tamper-evident audit log; read-only by default.", "desc_en": "Manage Proxmox VE, Backup Server, Mail Gateway and Datacenter Manager with dry-run plans, snapshots and a tamper-evident audit log; read-only by default.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/john-broadway/proximo", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/john-broadway/proximo", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-jasonwilbur-oci-pricing-mcp", "name": "jasonwilbur/oci-pricing-mcp", "name_en": "jasonwilbur/oci-pricing-mcp", "desc": "Oracle Cloud Infrastructure price data with cost calculators and cross-provider comparisons.", "desc_en": "Oracle Cloud Infrastructure price data with cost calculators and cross-provider comparisons.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jasonwilbur/oci-pricing-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jasonwilbur/oci-pricing-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-jasonwilbur-cloud-cost-mcp", "name": "jasonwilbur/cloud-cost-mcp", "name_en": "jasonwilbur/cloud-cost-mcp", "desc": "Compare real-time cloud instance prices across AWS, Azure, GCP and OCI, with workload calculators and migration savings estimates.", "desc_en": "Compare real-time cloud instance prices across AWS, Azure, GCP and OCI, with workload calculators and migration savings estimates.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jasonwilbur/cloud-cost-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jasonwilbur/cloud-cost-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ionos-cloud-ionoscloud-mcp", "name": "ionos-cloud/ionoscloud-mcp", "name_en": "ionos-cloud/ionoscloud-mcp", "desc": "Inspect and manage IONOS Cloud infrastructure.", "desc_en": "Inspect and manage IONOS Cloud infrastructure.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ionos-cloud/ionoscloud-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ionos-cloud/ionoscloud-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-infrawise-mcp-server", "name": "Infrawise/mcp-server", "name_en": "Infrawise/mcp-server", "desc": "Azure FinOps cost optimization: idle resources, rightsizing and Reserved Instance recommendations.", "desc_en": "Azure FinOps cost optimization: idle resources, rightsizing and Reserved Instance recommendations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Infrawise/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Infrawise/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ilmar7786-marzban-sdk-tree-main-packages-mcp", "name": "Ilmar7786/marzban-sdk", "name_en": "Ilmar7786/marzban-sdk", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Ilmar7786/marzban-sdk/tree/main/packages/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Ilmar7786/marzban-sdk/tree/main/packages/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-huangdun-tempmd-mcp", "name": "huangdun/tempmd-mcp", "name_en": "huangdun/tempmd-mcp", "desc": "Publish HTML, Markdown, CSV or Mermaid artifacts to temp.md under a stable public link that updates in place, with activity-based expiry.", "desc_en": "Publish HTML, Markdown, CSV or Mermaid artifacts to temp.md under a stable public link that updates in place, with activity-based expiry.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/huangdun/tempmd-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/huangdun/tempmd-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-hostodo-hostodo-mcp", "name": "hostodo/hostodo-mcp", "name_en": "hostodo/hostodo-mcp", "desc": "Hostodo VPS management: VM details, power control, renaming, OS reinstalls, guest-agent commands and artifact uploads, with scoped tokens and audit logs.", "desc_en": "Hostodo VPS management: VM details, power control, renaming, OS reinstalls, guest-agent commands and artifact uploads, with scoped tokens and audit logs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hostodo/hostodo-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hostodo/hostodo-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-helbertparanhos-easypanel-mcp-server", "name": "helbertparanhos/easypanel-mcp-server", "name_en": "helbertparanhos/easypanel-mcp-server", "desc": "Control Easypanel deployments, services, environment variables, logs, domains, databases and monitoring, with confirmation for destructive actions.", "desc_en": "Control Easypanel deployments, services, environment variables, logs, domains, databases and monitoring, with confirmation for destructive actions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/helbertparanhos/easypanel-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/helbertparanhos/easypanel-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-helbertparanhos-cloudflare-mcp-pro", "name": "helbertparanhos/cloudflare-mcp-pro", "name_en": "helbertparanhos/cloudflare-mcp-pro", "desc": "Manage Cloudflare DNS, zones, Workers, KV, R2, D1, Pages, WAF, SSL, Email Routing and more via the REST API, with human approval for every change.", "desc_en": "Manage Cloudflare DNS, zones, Workers, KV, R2, D1, Pages, WAF, SSL, Email Routing and more via the REST API, with human approval for every change.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/helbertparanhos/cloudflare-mcp-pro", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/helbertparanhos/cloudflare-mcp-pro", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-hardik-id-azure-resource-graph-mcp-server", "name": "hardik-id/azure-resource-graph-mcp-server", "name_en": "hardik-id/azure-resource-graph-mcp-server", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hardik-id/azure-resource-graph-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hardik-id/azure-resource-graph-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-geiserx-spinnaker-mcp", "name": "GeiserX/spinnaker-mcp", "name_en": "GeiserX/spinnaker-mcp", "desc": "Manage Spinnaker applications, pipelines, executions and cloud infrastructure via the Gate API.", "desc_en": "Manage Spinnaker applications, pipelines, executions and cloud infrastructure via the Gate API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/GeiserX/spinnaker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/GeiserX/spinnaker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-garlickim21-ratatosk-mcp", "name": "garlicKim21/ratatosk-mcp", "name_en": "garlicKim21/ratatosk-mcp", "desc": "CNCF release intelligence: security fixes, breaking changes and deprecations from graduated and incubating project release notes, with local version checks.", "desc_en": "CNCF release intelligence: security fixes, breaking changes and deprecations from graduated and incubating project release notes, with local version checks.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/garlicKim21/ratatosk-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/garlicKim21/ratatosk-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-ganakailabs-cloudeval-cli", "name": "ganakailabs/cloudeval-cli", "name_en": "ganakailabs/cloudeval-cli", "desc": "Access Cloudeval project context and reports for cloud evaluations of Azure and AWS CloudFormation, with a read-only toolset.", "desc_en": "Access Cloudeval project context and reports for cloud evaluations of Azure and AWS CloudFormation, with a read-only toolset.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ganakailabs/cloudeval-cli", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ganakailabs/cloudeval-cli", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-frndchagas-coolify-mcp", "name": "frndchagas/coolify-mcp", "name_en": "frndchagas/coolify-mcp", "desc": "Manage self-hosted Coolify PaaS: deployments with verified builds, app diagnostics, database backups, offline docs search and confirmed destructive actions.", "desc_en": "Manage self-hosted Coolify PaaS: deployments with verified builds, app diagnostics, database backups, offline docs search and confirmed destructive actions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/frndchagas/coolify-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/frndchagas/coolify-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-friendlygeorge-docker-mcp-server", "name": "friendlygeorge/docker-mcp-server", "name_en": "friendlygeorge/docker-mcp-server", "desc": "Docker container management: health checks, auto-restart, Compose lifecycle and log streaming.", "desc_en": "Docker container management: health checks, auto-restart, Compose lifecycle and log streaming.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/friendlygeorge/docker-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/friendlygeorge/docker-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-flux159-mcp-server-kubernetes", "name": "flux159/mcp-server-kubernetes", "name_en": "flux159/mcp-server-kubernetes", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Flux159/mcp-server-kubernetes", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Flux159/mcp-server-kubernetes", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-espressif-esp-rainmaker-mcp", "name": "espressif/esp-rainmaker-mcp", "name_en": "espressif/esp-rainmaker-mcp", "desc": "Manage and control ESP RainMaker devices.", "desc_en": "Manage and control ESP RainMaker devices.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/espressif/esp-rainmaker-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/espressif/esp-rainmaker-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-erikhoward-adls-mcp-server", "name": "erikhoward/adls-mcp-server", "name_en": "erikhoward/adls-mcp-server", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/erikhoward/adls-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/erikhoward/adls-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-elevy99927-devops-mcp-webui", "name": "elevy99927/devops-mcp-webui", "name_en": "elevy99927/devops-mcp-webui", "desc": "", "desc_en": "", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/elevy99927/devops-mcp-webui", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/elevy99927/devops-mcp-webui", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "mcp-nwiizo-tfmcp", "name": "nwiizo/tfmcp", "name_en": "nwiizo/tfmcp", "desc": "Manage Terraform environments: read configurations, analyze plans, apply configurations and manage state.", "desc_en": "Manage Terraform environments: read configurations, analyze plans, apply configurations and manage state.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nwiizo/tfmcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nwiizo/tfmcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "mcp-hashicorp-terraform-mcp-server", "name": "hashicorp/terraform-mcp-server", "name_en": "hashicorp/terraform-mcp-server", "desc": "Terraform ecosystem integration: provider discovery, module analysis and Terraform Registry API access for infrastructure-as-code workflows.", "desc_en": "Terraform ecosystem integration: provider discovery, module analysis and Terraform Registry API access for infrastructure-as-code workflows.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hashicorp/terraform-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hashicorp/terraform-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-05T13:27:30.354Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 9 }, { "id": "pdf-extract-text-001", "name": "PDF文本提取", "name_en": "PDF Text Extraction", "desc": "从PDF文件中提取全部文本内容，保留段落结构", "desc_en": "Extract all text from PDF files while preserving paragraph structure", "input": "PDF文件URL或本地路径", "input_en": "PDF file URL or local path", "output": "结构化文本字符串，包含页码映射", "output_en": "Structured text string with page number mapping", "endpoint": "mcp://pymupdf-server/extract-text", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pymupdf/PyMuPDF", "trustSource": 0.92, "trustUsage": 1253, "trustUsageRate": 0.62, "trustSuccess": 0.97, "trustRisk": 0.1, "trustTime": 0.91, "lastUpdated": "2026-10-03", "evidence": { "count": 1253, "uncertainty": 0.24 }, "features": [ "保留段落结构", "页码映射", "多语言文本支持", "批量处理" ], "features_en": [ "Preserve paragraphs", "Page mapping", "Multi-language", "Batch processing" ], "usageGuide": "将PDF文件URL或本地路径作为输入参数传入，返回包含页码映射的结构化文本。", "usageGuide_en": "Pass the PDF file URL or local path as input, returns structured text with page mapping.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"extract-text\",\"arguments\":{\"path\":\"/data/report.pdf\"}}}", "version": 14 }, { "id": "mcp-video-creator-ffmpeg-mcp-git", "name": "video-creator/ffmpeg-mcp", "name_en": "video-creator/ffmpeg-mcp", "desc": "Local video search, trimming, stitching and playback through conversation, using the ffmpeg command line.", "desc_en": "Local video search, trimming, stitching and playback through conversation, using the ffmpeg command line.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/video-creator/ffmpeg-mcp.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/video-creator/ffmpeg-mcp.git", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-vivekvells-mcp-pandoc", "name": "vivekvells/mcp-pandoc", "name_en": "vivekvells/mcp-pandoc", "desc": "Document format conversion using Pandoc: Markdown, HTML, PDF, DOCX, CSV and more.", "desc_en": "Document format conversion using Pandoc: Markdown, HTML, PDF, DOCX, CSV and more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/vivekVells/mcp-pandoc", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/vivekVells/mcp-pandoc", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-valado-pantheon-mcp", "name": "valado/pantheon-mcp", "name_en": "valado/pantheon-mcp", "desc": "Serves task-specific instructions to agents instead of static Markdown files.", "desc_en": "Serves task-specific instructions to agents instead of static Markdown files.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/valado/pantheon-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/valado/pantheon-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-pskill9-website-downloader", "name": "pskill9/website-downloader", "name_en": "pskill9/website-downloader", "desc": "Download entire websites using wget, preserving their structure and converting links to work locally.", "desc_en": "Download entire websites using wget, preserving their structure and converting links to work locally.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pskill9/website-downloader", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pskill9/website-downloader", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-niledatabase-nile-mcp-server", "name": "niledatabase/nile-mcp-server", "name_en": "niledatabase/nile-mcp-server", "desc": "Manage and query Nile Postgres databases, tenants, users and auth.", "desc_en": "Manage and query Nile Postgres databases, tenants, users and auth.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/niledatabase/nile-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/niledatabase/nile-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-ferrislucas-iterm-mcp", "name": "ferrislucas/iterm-mcp", "name_en": "ferrislucas/iterm-mcp", "desc": "Access iTerm: run commands and ask questions about what is shown in the terminal.", "desc_en": "Access iTerm: run commands and ask questions about what is shown in the terminal.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ferrislucas/iterm-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ferrislucas/iterm-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 5 }, { "id": "mcp-zeparhyfar-mcp-datetime", "name": "ZeparHyfar/mcp-datetime", "name_en": "ZeparHyfar/mcp-datetime", "desc": "Date and time functions in various formats.", "desc_en": "Date and time functions in various formats.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/ZeparHyfar/mcp-datetime", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/ZeparHyfar/mcp-datetime", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-nick1udwig-ws-mcp", "name": "ws-mcp", "name_en": "ws-mcp", "desc": "Wrap MCP servers with a WebSocket, for use with kibitz.", "desc_en": "Wrap MCP servers with a WebSocket, for use with kibitz.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/nick1udwig/ws-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/nick1udwig/ws-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-pyroprompts-any-chat-completions-mcp", "name": "pyroprompts/any-chat-completions-mcp", "name_en": "pyroprompts/any-chat-completions-mcp", "desc": "Chat with any OpenAI SDK-compatible Chat Completions API, such as Perplexity, Groq and xAI.", "desc_en": "Chat with any OpenAI SDK-compatible Chat Completions API, such as Perplexity, Groq and xAI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pyroprompts/any-chat-completions-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pyroprompts/any-chat-completions-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-pwh-pwh-cal-mcp", "name": "pwh-pwh/cal-mcp", "name_en": "pwh-pwh/cal-mcp", "desc": "Evaluate mathematical expressions.", "desc_en": "Evaluate mathematical expressions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pwh-pwh/cal-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pwh-pwh/cal-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-yeok-c-latex-mcp-server", "name": "latex-mcp-server", "name_en": "latex-mcp-server", "desc": "Compile LaTeX, download, organize and read cited papers, run visualization scripts and add figures and tables to LaTeX documents.", "desc_en": "Compile LaTeX, download, organize and read cited papers, run visualization scripts and add figures and tables to LaTeX documents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Yeok-c/latex-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Yeok-c/latex-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-akseyh-bear-mcp-server", "name": "akseyh/bear-mcp-server", "name_en": "akseyh/bear-mcp-server", "desc": "Read Bear notes (macOS only).", "desc_en": "Read Bear notes (macOS only).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/akseyh/bear-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/akseyh/bear-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-abdelstark-bitcoin-mcp", "name": "AbdelStark/bitcoin-mcp", "name_en": "AbdelStark/bitcoin-mcp", "desc": "Interact with Bitcoin: generate keys, validate addresses, decode transactions and query the blockchain.", "desc_en": "Interact with Bitcoin: generate keys, validate addresses, decode transactions and query the blockchain.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/AbdelStark/bitcoin-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/AbdelStark/bitcoin-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-gaffx-volatility-mcp", "name": "Gaffx/volatility-mcp", "name_en": "Gaffx/volatility-mcp", "desc": "Memory forensics with Volatility 3, exposing plugins such as pslist and netscan through REST APIs.", "desc_en": "Memory forensics with Volatility 3, exposing plugins such as pslist and netscan through REST APIs.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Gaffx/volatility-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Gaffx/volatility-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-thinkchainai-agentinterviews_mcp", "name": "thinkchainai/agentinterviews_mcp", "name_en": "thinkchainai/agentinterviews_mcp", "desc": "Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage projects, recruit participants and analyze results.", "desc_en": "Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage projects, recruit participants and analyze results.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/thinkchainai/agentinterviews_mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/thinkchainai/agentinterviews_mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-last9-last9-mcp-server", "name": "last9/last9-mcp-server", "name_en": "last9/last9-mcp-server", "desc": "Bring real-time production logs, metrics and traces from Last9 into your local environment to fix code.", "desc_en": "Bring real-time production logs, metrics and traces from Last9 into your local environment to fix code.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/last9/last9-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/last9/last9-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-jjsantos01-qgis_mcp", "name": "QGIS MCP", "name_en": "QGIS MCP", "desc": "Connects QGIS Desktop to Claude for prompt-assisted project creation, layer loading and code execution.", "desc_en": "Connects QGIS Desktop to Claude for prompt-assisted project creation, layer loading and code execution.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jjsantos01/qgis_mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jjsantos01/qgis_mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-chatmcp-mcp-server-chatsum", "name": "chatmcp/mcp-server-chatsum", "name_en": "chatmcp/mcp-server-chatsum", "desc": "Query and summarize your chat messages with AI prompts.", "desc_en": "Query and summarize your chat messages with AI prompts.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/chatmcp/mcp-server-chatsum", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/chatmcp/mcp-server-chatsum", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-lnbits-lnbits-mcp-server", "name": "lnbits/LNbits-MCP-Server", "name_en": "lnbits/LNbits-MCP-Server", "desc": "LNbits Lightning Network wallet integration.", "desc_en": "LNbits Lightning Network wallet integration.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/lnbits/LNbits-MCP-Server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/lnbits/LNbits-MCP-Server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-finmap-org-mcp-server", "name": "finmap-org/mcp-server", "name_en": "finmap-org/mcp-server", "desc": "Historical US, UK, Russian and Turkish stock exchange data from finmap: sectors, tickers, company profiles, market cap, volume and treemap visualizations.", "desc_en": "Historical US, UK, Russian and Turkish stock exchange data from finmap: sectors, tickers, company profiles, market cap, volume and treemap visualizations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/finmap-org/mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/finmap-org/mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-tamarengel-jira-github-mcp", "name": "TamarEngel/jira-github-mcp", "name_en": "TamarEngel/jira-github-mcp", "desc": "Integrates Jira and GitHub to automate developer workflows from issue tracking to branches, commits, pull requests and merges.", "desc_en": "Integrates Jira and GitHub to automate developer workflows from issue tracking to branches, commits, pull requests and merges.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/TamarEngel/jira-github-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/TamarEngel/jira-github-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-openzeppelin-contracts-wizard-tree-master-packages-mcp", "name": "OpenZeppelin/contracts-wizard", "name_en": "OpenZeppelin/contracts-wizard", "desc": "Generate secure smart contracts in multiple languages from OpenZeppelin Wizard templates.", "desc_en": "Generate secure smart contracts in multiple languages from OpenZeppelin Wizard templates.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/OpenZeppelin/contracts-wizard/tree/master/packages/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/OpenZeppelin/contracts-wizard/tree/master/packages/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-21st-dev-magic-mcp", "name": "21st-dev/Magic-MCP", "name_en": "21st-dev/Magic-MCP", "desc": "Create UI components inspired by 21st.dev design engineers.", "desc_en": "Create UI components inspired by 21st.dev design engineers.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/21st-dev/magic-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/21st-dev/magic-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-planetscale-cli?tab=readme-ov-file#mcp-server-integration", "name": "planetscale/mcp", "name_en": "planetscale/mcp", "desc": "Built into the PlanetScale CLI: direct access to your PlanetScale databases.", "desc_en": "Built into the PlanetScale CLI: direct access to your PlanetScale databases.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/planetscale/cli?tab=readme-ov-file#mcp-server-integration", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/planetscale/cli?tab=readme-ov-file#mcp-server-integration", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-joshuarileydev-supabase", "name": "joshuarileydev/supabase-mcp-server", "name_en": "joshuarileydev/supabase-mcp-server", "desc": "Create and manage Supabase projects and organizations.", "desc_en": "Create and manage Supabase projects and organizations.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/joshuarileydev/supabase", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/joshuarileydev/supabase", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-bram2w-baserow", "name": "bram2w/baserow", "name_en": "bram2w/baserow", "desc": "Baserow database integration: search and list tables, and create, read, update and delete rows.", "desc_en": "Baserow database integration: search and list tables, and create, read, update and delete rows.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/bram2w/baserow", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/bram2w/baserow", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-alexander-zuev-supabase-mcp-server", "name": "alexanderzuev/supabase-mcp-server", "name_en": "alexanderzuev/supabase-mcp-server", "desc": "Execute SQL queries and explore Supabase databases.", "desc_en": "Execute SQL queries and explore Supabase databases.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/alexander-zuev/supabase-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/alexander-zuev/supabase-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-saurabhsharma2u-search-console-mcp", "name": "saurabhsharma2u/search-console-mcp", "name_en": "saurabhsharma2u/search-console-mcp", "desc": "Interact with Google Search Console and Bing Webmaster Tools.", "desc_en": "Interact with Google Search Console and Bing Webmaster Tools.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/saurabhsharma2u/search-console-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/saurabhsharma2u/search-console-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-teddyzxcv-ntfy-mcp", "name": "teddyzxcv/ntfy-mcp", "name_en": "teddyzxcv/ntfy-mcp", "desc": "Send notifications to your phone using ntfy.", "desc_en": "Send notifications to your phone using ntfy.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/teddyzxcv/ntfy-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/teddyzxcv/ntfy-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-areweai-tsgram-mcp", "name": "areweai/tsgram-mcp", "name_en": "areweai/tsgram-mcp", "desc": "Use Claude with local workspace access from Telegram on your phone: read, write and code on the go.", "desc_en": "Use Claude with local workspace access from Telegram on your phone: read, write and code on the go.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/areweai/tsgram-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/areweai/tsgram-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-tumf-mcp-shell-server", "name": "tumf/mcp-shell-server", "name_en": "tumf/mcp-shell-server", "desc": "Secure shell command execution.", "desc_en": "Secure shell command execution.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tumf/mcp-shell-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tumf/mcp-shell-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-maxim-saplin-mcp_safe_local_python_executor", "name": "maxim-saplin/mcp_safe_local_python_executor", "name_en": "maxim-saplin/mcp_safe_local_python_executor", "desc": "Safe Python interpreter based on Hugging Face smolagents' LocalPythonExecutor.", "desc_en": "Safe Python interpreter based on Hugging Face smolagents' LocalPythonExecutor.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/maxim-saplin/mcp_safe_local_python_executor", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/maxim-saplin/mcp_safe_local_python_executor", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-automateyournetwork-pyats_mcp", "name": "automateyournetwork/pyATS_MCP", "name_en": "automateyournetwork/pyATS_MCP", "desc": "Structured, model-driven interaction with network devices via Cisco pyATS.", "desc_en": "Structured, model-driven interaction with network devices via Cisco pyATS.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/automateyournetwork/pyATS_MCP", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/automateyournetwork/pyATS_MCP", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-10-01T04:52:11.007Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 13 }, { "id": "mcp-wanaku-ai-wanaku", "name": "wanaku-ai/wanaku", "name_en": "wanaku-ai/wanaku", "desc": "☁️ 🏠 The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents.", "desc_en": "☁️ 🏠 The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/wanaku-ai/wanaku", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/wanaku-ai/wanaku", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-tan-yong-sheng-ai-vision-mcp", "name": "tan-yong-sheng/ai-vision-mcp", "name_en": "tan-yong-sheng/ai-vision-mcp", "desc": "📇 🏠 🍎 🪟 🐧 - Multimodal AI vision MCP server for image, video, and object detection analysis. Enables UI/UX evaluation, visual regression testing, and interface understanding using Google Gemini and Vertex AI.", "desc_en": "📇 🏠 🍎 🪟 🐧 - Multimodal AI vision MCP server for image, video, and object detection analysis. Enables UI/UX evaluation, visual regression testing, and interface understanding using Google Gemini and Vertex AI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/tan-yong-sheng/ai-vision-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/tan-yong-sheng/ai-vision-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-roychri-mcp-server-asana", "name": "roychri/mcp-server-asana", "name_en": "roychri/mcp-server-asana", "desc": "📇 ☁️ This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.", "desc_en": "📇 ☁️ This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/roychri/mcp-server-asana", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/roychri/mcp-server-asana", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-rae-api-com-rae-mcp", "name": "rae-api-com/rae-mcp", "name_en": "rae-api-com/rae-mcp", "desc": "🏎️ ☁️ 🍎 🪟 🐧 MCP Server to connect your preferred model with https://rae-api.com, Roya Academy of Spanish Dictionary", "desc_en": "🏎️ ☁️ 🍎 🪟 🐧 MCP Server to connect your preferred model with https://rae-api.com, Roya Academy of Spanish Dictionary", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/rae-api-com/rae-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/rae-api-com/rae-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-pskill9-hn-server", "name": "pskill9/hn-server", "name_en": "pskill9/hn-server", "desc": "📇 ☁️ Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).", "desc_en": "📇 ☁️ Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/pskill9/hn-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/pskill9/hn-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-non906-omniparser-autogui-mcp", "name": "NON906/omniparser-autogui-mcp", "name_en": "NON906/omniparser-autogui-mcp", "desc": "🐍 Automatic operation of on-screen GUI.", "desc_en": "🐍 Automatic operation of on-screen GUI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/NON906/omniparser-autogui-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/NON906/omniparser-autogui-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-monadsag-capsulecrm-mcp", "name": "MonadsAG/capsulecrm-mcp", "name_en": "MonadsAG/capsulecrm-mcp", "desc": "📇 ☁️ Allows AI clients to manage contacts, opportunities and tasks in Capsule CRM including Claude Desktop ready DTX-file", "desc_en": "📇 ☁️ Allows AI clients to manage contacts, opportunities and tasks in Capsule CRM including Claude Desktop ready DTX-file", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/MonadsAG/capsulecrm-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/MonadsAG/capsulecrm-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-metorial-metorial", "name": "metorial/metorial", "name_en": "metorial/metorial", "desc": "🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included", "desc_en": "🎖️ 📇 ☁️ Connect AI agents to 600+ integrations with a single interface - OAuth, scaling, and monitoring included", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/metorial/metorial", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/metorial/metorial", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-mediar-ai-screenpipe", "name": "mediar-ai/screenpipe", "name_en": "mediar-ai/screenpipe", "desc": "🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.", "desc_en": "🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mediar-ai/screenpipe", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mediar-ai/screenpipe", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-marcelmarais-spotify-mcp-server", "name": "marcelmarais/Spotify", "name_en": "marcelmarais/Spotify", "desc": "📇 🏠 Control Spotify playback and manage playlists.", "desc_en": "📇 🏠 Control Spotify playback and manage playlists.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/marcelmarais/spotify-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/marcelmarais/spotify-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-kj455-mcp-kibela", "name": "kj455/mcp-kibela", "name_en": "kj455/mcp-kibela", "desc": "📇 ☁️ Allows AI models to interact with [Kibela](https://kibe.la/)", "desc_en": "📇 ☁️ Allows AI models to interact with [Kibela](https://kibe.la/)", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kj455/mcp-kibela", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kj455/mcp-kibela", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-kiwamizamurai-mcp-kibela-server", "name": "kiwamizamurai/mcp-kibela-server", "name_en": "kiwamizamurai/mcp-kibela-server", "desc": "📇 ☁️ Powerfully interact with Kibela API.", "desc_en": "📇 ☁️ Powerfully interact with Kibela API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kiwamizamurai/mcp-kibela-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kiwamizamurai/mcp-kibela-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-kiarash-portfolio-mcp", "name": "kiarash-portfolio-mcp", "name_en": "kiarash-portfolio-mcp", "desc": "WebMCP-enabled portfolio with Ed25519 signed discovery. AI agents can query projects, skills, and execute terminal commands. Built on Cloudflare Pages Functions.", "desc_en": "WebMCP-enabled portfolio with Ed25519 signed discovery. AI agents can query projects, skills, and execute terminal commands. Built on Cloudflare Pages Functions.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://kiarash-adl.pages.dev/.well-known/mcp.llmfeed.json", "endpointType": "mcp", "category": "data", "provenance": "https://kiarash-adl.pages.dev/.well-known/mcp.llmfeed.json", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-kelvin6365-plane-mcp-server", "name": "kelvin6365/plane-mcp-server", "name_en": "kelvin6365/plane-mcp-server", "desc": "🏎️ 🏠 This MCP Server will help you to manage projects and issues through [Plane's](https://plane.so) API", "desc_en": "🏎️ 🏠 This MCP Server will help you to manage projects and issues through [Plane's](https://plane.so) API", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/kelvin6365/plane-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/kelvin6365/plane-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-hmk-attio-mcp-server", "name": "hmk/attio-mcp-server", "name_en": "hmk/attio-mcp-server", "desc": "📇 ☁️ Allows AI clients to manage records and notes in Attio CRM", "desc_en": "📇 ☁️ Allows AI clients to manage records and notes in Attio CRM", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hmk/attio-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hmk/attio-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-henryhaoson-yuque-mcp-server", "name": "HenryHaoson/Yuque-MCP-Server", "name_en": "HenryHaoson/Yuque-MCP-Server", "desc": "📇 ☁️ A Model-Context-Protocol (MCP) server for integrating with Yuque API, allowing AI models to manage documents, interact with knowledge bases, search content, and access analytics data from the Yuque platform.", "desc_en": "📇 ☁️ A Model-Context-Protocol (MCP) server for integrating with Yuque API, allowing AI models to manage documents, interact with knowledge bases, search content, and access analytics data from the Yuque platform.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/HenryHaoson/Yuque-MCP-Server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/HenryHaoson/Yuque-MCP-Server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-gotoolkits-mcp-difyworkflow-server", "name": "gotoolkits/DifyWorkflow", "name_en": "gotoolkits/DifyWorkflow", "desc": "🏎️ ☁️ Tools to the query and execute of Dify workflows", "desc_en": "🏎️ ☁️ Tools to the query and execute of Dify workflows", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/gotoolkits/mcp-difyworkflow-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/gotoolkits/mcp-difyworkflow-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-azure-azure-mcp", "name": "Azure/azure-mcp", "name_en": "Azure/azure-mcp", "desc": "Official Microsoft MCP server for Azure services including Storage, Cosmos DB, and Azure Monitor.", "desc_en": "Official Microsoft MCP server for Azure services including Storage, Cosmos DB, and Azure Monitor.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Azure/azure-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Azure/azure-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-andybrandt-mcp-simple-openai-assistant", "name": "andybrandt/mcp-simple-openai-assistant", "name_en": "andybrandt/mcp-simple-openai-assistant", "desc": "🐍 ☁️ MCP to talk to OpenAI assistants (Claude can use any GPT model as his assitant)", "desc_en": "🐍 ☁️ MCP to talk to OpenAI assistants (Claude can use any GPT model as his assitant)", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/andybrandt/mcp-simple-openai-assistant", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/andybrandt/mcp-simple-openai-assistant", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-macrocosm-os-macrocosmos-mcp", "name": "macrocosm-os/macrocosmos-mcp", "name_en": "macrocosm-os/macrocosmos-mcp", "desc": "🎖️ 🐍 ☁️ Access real-time X/Reddit/YouTube data directly in your LLM applications with search phrases, users, and date filtering.", "desc_en": "🎖️ 🐍 ☁️ Access real-time X/Reddit/YouTube data directly in your LLM applications with search phrases, users, and date filtering.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/macrocosm-os/macrocosmos-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/macrocosm-os/macrocosmos-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-dkvdm-onepassword-mcp-server", "name": "dkvdm/onepassword-mcp-server", "name_en": "dkvdm/onepassword-mcp-server", "desc": "An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI.", "desc_en": "An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/dkvdm/onepassword-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dkvdm/onepassword-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-urlbox-urlbox-mcp-server", "name": "urlbox/urlbox-mcp-server", "name_en": "urlbox/urlbox-mcp-server", "desc": "📇 🏠 A reliable MCP server for generating and managing screenshots, PDFs, and videos, performing AI-powered screenshot analysis, and extracting web content (Markdown, metadata, and HTML) via the [Urlbox](https://urlbox.com) API.", "desc_en": "📇 🏠 A reliable MCP server for generating and managing screenshots, PDFs, and videos, performing AI-powered screenshot analysis, and extracting web content (Markdown, metadata, and HTML) via the [Urlbox](https://urlbox.com) API.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/urlbox/urlbox-mcp-server/", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/urlbox/urlbox-mcp-server/", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-hbg-mcp-paperswithcode", "name": "hbg/mcp-paperswithcode", "name_en": "hbg/mcp-paperswithcode", "desc": "🐍 ☁️ MCP to search through PapersWithCode API", "desc_en": "🐍 ☁️ MCP to search through PapersWithCode API", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/hbg/mcp-paperswithcode", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/hbg/mcp-paperswithcode", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-andybrandt-mcp-simple-pubmed", "name": "andybrandt/mcp-simple-pubmed", "name_en": "andybrandt/mcp-simple-pubmed", "desc": "🐍 ☁️ MCP to search and read medical / life sciences papers from PubMed.", "desc_en": "🐍 ☁️ MCP to search and read medical / life sciences papers from PubMed.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/andybrandt/mcp-simple-pubmed", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/andybrandt/mcp-simple-pubmed", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-andybrandt-mcp-simple-arxiv", "name": "andybrandt/mcp-simple-arxiv", "name_en": "andybrandt/mcp-simple-arxiv", "desc": "🐍 ☁️ MCP for LLM to search and read papers from arXiv", "desc_en": "🐍 ☁️ MCP for LLM to search and read papers from arXiv", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/andybrandt/mcp-simple-arxiv", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/andybrandt/mcp-simple-arxiv", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-harrison-ai-counsel", "name": "harrison/ai-counsel", "name_en": "harrison/ai-counsel", "desc": "🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.", "desc_en": "🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/harrison/ai-counsel", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/harrison/ai-counsel", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-apiarya-wemo-mcp-server", "name": "apiarya/wemo-mcp-server", "name_en": "apiarya/wemo-mcp-server", "desc": "[![wemo-mcp-server MCP server](https://glama.ai/mcp/servers/@apiarya/wemo-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/@apiarya/wemo-mcp-server) 🐍 🏠 🍎 🪟 🐧 - Control WeMo smart home devices via AI assistants using natural language. Built on pywemo for 100% local control — no cloud dependency. Supports dimmer brightness, device rename, HomeKit codes, and multi-phase discovery.", "desc_en": "[![wemo-mcp-server MCP server](https://glama.ai/mcp/servers/@apiarya/wemo-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/@apiarya/wemo-mcp-server) 🐍 🏠 🍎 🪟 🐧 - Control WeMo smart home devices via AI assistants using natural language. Built on pywemo for 100% local control — no cloud dependency. Supports dimmer brightness, device rename, HomeKit codes, and multi-phase discovery.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/apiarya/wemo-mcp-server", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/apiarya/wemo-mcp-server", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-sonirico-mcp-stockfish", "name": "sonirico/mcp-stockfish", "name_en": "sonirico/mcp-stockfish", "desc": "🏎️ 🏠 🍎 🪟 🐧️ MCP server connecting AI systems to Stockfish chess engine.", "desc_en": "🏎️ 🏠 🍎 🪟 🐧️ MCP server connecting AI systems to Stockfish chess engine.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sonirico/mcp-stockfish", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sonirico/mcp-stockfish", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-traceloop-opentelemetry-mcp-server-git", "name": "traceloop/opentelemetry-mcp-server", "name_en": "traceloop/opentelemetry-mcp-server", "desc": "🐍🏠 - An MCP server for connecting to any OpenTelemetry backend (Datadog, Grafana, Dynatrace, Traceloop, etc.).", "desc_en": "🐍🏠 - An MCP server for connecting to any OpenTelemetry backend (Datadog, Grafana, Dynatrace, Traceloop, etc.).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/traceloop/opentelemetry-mcp-server.git", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/traceloop/opentelemetry-mcp-server.git", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-longportapp-openapi-tree-main-mcp", "name": "longportapp/openapi", "name_en": "longportapp/openapi", "desc": "🐍 ☁️ - LongPort OpenAPI provides real-time stock market data, provides AI access analysis and trading capabilities through MCP.", "desc_en": "🐍 ☁️ - LongPort OpenAPI provides real-time stock market data, provides AI access analysis and trading capabilities through MCP.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/longportapp/openapi/tree/main/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/longportapp/openapi/tree/main/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-shadcn-studio-mcp", "name": "shadcn/studio MCP", "name_en": "shadcn/studio MCP", "desc": "Integrate shadcn/studio MCP Server directly into your favorite IDE and craft stunning shadcn/ui Components, Blocks and Pages inspired by shadcn/studio.", "desc_en": "Integrate shadcn/studio MCP Server directly into your favorite IDE and craft stunning shadcn/ui Components, Blocks and Pages inspired by shadcn/studio.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://shadcnstudio.com/mcp", "endpointType": "mcp", "category": "data", "provenance": "https://shadcnstudio.com/mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-aiven-open-mcp-aiven", "name": "Aiven-Open/mcp-aiven", "name_en": "Aiven-Open/mcp-aiven", "desc": "🐍 ☁️ 🎖️ - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services", "desc_en": "🐍 ☁️ 🎖️ - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/Aiven-Open/mcp-aiven", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Aiven-Open/mcp-aiven", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-sawa-zen-vrchat-mcp", "name": "sawa-zen/vrchat-mcp", "name_en": "sawa-zen/vrchat-mcp", "desc": "📇 🏠 This is an MCP server for interacting with the VRChat API. You can retrieve information about friends, worlds, avatars, and more in VRChat.", "desc_en": "📇 🏠 This is an MCP server for interacting with the VRChat API. You can retrieve information about friends, worlds, avatars, and more in VRChat.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sawa-zen/vrchat-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sawa-zen/vrchat-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-sonirico-mcp-shell", "name": "sonirico/mcp-shell", "name_en": "sonirico/mcp-shell", "desc": "🏎️ 🏠 🍎 🪟 🐧 Give hands to AI. MCP server to run shell commands securely, auditably, and on demand on isolated environments like docker.", "desc_en": "🏎️ 🏠 🍎 🪟 🐧 Give hands to AI. MCP server to run shell commands securely, auditably, and on demand on isolated environments like docker.", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/sonirico/mcp-shell", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sonirico/mcp-shell", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-jdubois-azure-cli-mcp", "name": "jdubois/azure-cli-mcp", "name_en": "jdubois/azure-cli-mcp", "desc": "A wrapper around the Azure CLI command line that allows you to talk directly to Azure", "desc_en": "A wrapper around the Azure CLI command line that allows you to talk directly to Azure", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/jdubois/azure-cli-mcp", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jdubois/azure-cli-mcp", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "mcp-mindsdb-mindsdb", "name": "mindsdb/mindsdb", "name_en": "mindsdb/mindsdb", "desc": "Connect and unify data across various platforms and databases with [MindsDB as a single MCP server](https://docs.mindsdb.com/mcp/overview).", "desc_en": "Connect and unify data across various platforms and databases with [MindsDB as a single MCP server](https://docs.mindsdb.com/mcp/overview).", "input": "MCP protocol standard input (JSON-RPC 2.0)", "input_en": "MCP protocol standard input (JSON-RPC 2.0)", "output": "MCP protocol standard output", "output_en": "MCP protocol standard output", "endpoint": "https://github.com/mindsdb/mindsdb", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/mindsdb/mindsdb", "trustSource": 0.5, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.5, "trustTime": 0.5, "lastUpdated": "2026-09-26T10:43:55.295Z", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Server Implementations", "MCP Server" ], "features_en": [ "Server Implementations", "MCP Server" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 8 }, { "id": "http-ip-geo-021", "name": "IP地理位置查询", "name_en": "IP Geolocation Lookup", "desc": "通过REST API查询任意IP地址的地理位置信息（国家、城市、ISP）", "desc_en": "Query geolocation info (country, city, ISP) for any IP via REST API", "input": "IP地址（可选，默认为请求方IP）", "input_en": "IP address (optional, defaults to requester IP)", "output": "国家、城市、ISP、经纬度、时区", "output_en": "Country, city, ISP, coordinates, timezone", "endpoint": "https://ipapi.co/json/?ip={ip}", "endpointType": "http", "category": "data", "provenance": "https://github.com/ipapi-co/ipapi", "trustSource": 0.94, "trustUsage": 9500, "trustUsageRate": 0.98, "trustSuccess": 0.98, "trustRisk": 0.05, "trustTime": 0.95, "lastUpdated": "2026-09-18", "evidence": { "count": 9500, "uncertainty": 0.2 }, "features": [ "REST API", "高可用", "无需认证", "速率限制友好" ], "features_en": [ "REST API", "High availability", "No auth required", "Rate-limit friendly" ], "usageGuide": "发送GET请求到 https://ipapi.co/json/ 即可获取当前IP的地理位置信息，支持自定义IP参数。", "usageGuide_en": "Send GET to https://ipapi.co/json/ to get geolocation info. Supports custom IP parameter.", "codeExample": "{ \"method\": \"GET\", \"url\": \"https://ipapi.co/json/\", \"headers\": { \"Accept\": \"application/json\" } }", "version": 1 }, { "id": "http-echo-demo", "name": "HTTP回显调试", "name_en": "HTTP Echo Debug", "desc": "将任意 HTTP 请求原样回显（方法、请求头、请求体、来源IP），用于接口调试与连通性验证", "desc_en": "Echo any HTTP request back as-is (method, headers, body, source IP) for API debugging and connectivity checks", "input": "HTTP 方法、URL、请求头、请求体", "input_en": "HTTP method, URL, headers, body", "output": "回显 JSON：method、headers、body、ip、url", "output_en": "Echo JSON: method, headers, body, ip, url", "endpoint": "https://httpbin.org/anything", "endpointType": "http", "category": "dev", "provenance": "https://httpbin.org", "trustSource": 0.9, "trustUsage": 3202, "trustUsageRate": 0.7, "trustSuccess": 0.97, "trustRisk": 0.08, "trustTime": 0.93, "lastUpdated": "2026-09-07", "evidence": { "count": 3202, "uncertainty": 0.22 }, "features": [ "请求回显", "方法/头/体", "来源IP", "连通性验证" ], "features_en": [ "Request echo", "Method/headers/body", "Source IP", "Connectivity check" ], "usageGuide": "发送任意 HTTP 请求到 https://httpbin.org/anything，服务端将请求内容原样回显为 JSON。", "usageGuide_en": "Send any HTTP request to https://httpbin.org/anything; the server echoes the request as JSON.", "codeExample": "{\"method\":\"GET\",\"url\":\"https://httpbin.org/anything\",\"headers\":{\"Accept\":\"application/json\"}}", "version": 3 }, { "id": "s10-nextsteps-verify-001", "name": "S10 引导验证（测试锚点）", "name_en": "S10 Next-Steps Verify", "desc": "用于 S10-5 验收的临时验证锚点：验证贡献成功后返回 next_steps 引导字段", "desc_en": "Temporary verify anchor for S10-5: check next_steps guide returned after contribute", "input": "任意输入", "input_en": "any input", "output": "echo json", "output_en": "echo json", "endpoint": "https://httpbin.org/anything", "endpointType": "http", "category": "dev", "provenance": "https://skillmesh.礼字号.中国", "trustSource": 0.8, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.1, "trustTime": 0.9, "lastUpdated": "2026-09-06", "evidence": { "count": 1, "uncertainty": 0.5 }, "features": [ "验证" ], "features_en": [ "verify" ], "usageGuide": "", "usageGuide_en": "", "codeExample": "", "version": 1 }, { "id": "code-explain-006", "name": "代码解释与注释", "name_en": "Code Explanation", "desc": "为任意代码片段生成自然语言解释和行内注释", "desc_en": "Generate natural language explanations and inline comments for code", "input": "代码字符串、编程语言标识", "input_en": "Code string, programming language identifier", "output": "解释文本、注释后的代码", "output_en": "Explanation text, commented code", "endpoint": "mcp://tree-sitter-server/explain", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/tree-sitter/tree-sitter", "trustSource": 0.81, "trustUsage": 1801, "trustUsageRate": 0.65, "trustSuccess": 0.93, "trustRisk": 0.12, "trustTime": 0.8, "lastUpdated": "2026-09-06", "evidence": { "count": 1801, "uncertainty": 0.23 }, "features": [ "多语言支持", "行内注释", "逻辑解释", "复杂度分析" ], "features_en": [ "Multi-language", "Inline comments", "Logic explanation", "Complexity analysis" ], "usageGuide": "通过MCP协议传入代码片段和语言标识，返回自然语言解释和注释后代码。", "usageGuide_en": "Pass code snippet and language via MCP, returns natural language explanation and commented code.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"explain\",\"arguments\":{\"code\":\"def fib(n): ...\",\"lang\":\"python\"}}}", "version": 2 }, { "id": "data-csv-json-001", "name": "CSV 转 JSON", "name_en": "CSV to JSON Converter", "desc": "将 CSV 格式数据转换为 JSON 格式", "desc_en": "Convert CSV format data to JSON format", "input": "CSV 文本或文件", "input_en": "CSV text or file", "output": "JSON 数组", "output_en": "JSON array", "endpoint": "/api/data/csv-to-json", "endpointType": "http", "category": "developer", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.7, "trustRisk": 0.1, "trustTime": 0.9, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "自动类型推断", "自定义分隔符", "编码检测" ], "features_en": [ "Auto type inference", "Custom delimiter", "Encoding detection" ], "usageGuide": "上传 CSV 文件或粘贴内容", "usageGuide_en": "Upload CSV file or paste content", "codeExample": "curl -X POST /api/data/csv-to-json -F 'file=@data.csv'", "version": 1 }, { "id": "data-json-validate-001", "name": "JSON Schema 校验", "name_en": "JSON Schema Validation", "desc": "根据 JSON Schema 校验 JSON 数据格式", "desc_en": "Validate JSON data against a JSON Schema", "input": "JSON 数据 + JSON Schema", "input_en": "JSON data + JSON Schema", "output": "校验结果和错误详情", "output_en": "Validation result and error details", "endpoint": "/api/data/json-validate", "endpointType": "http", "category": "developer", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.7, "trustRisk": 0.1, "trustTime": 0.9, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "Draft 2020-12", "详细错误定位", "批量校验" ], "features_en": [ "Draft 2020-12", "Detailed error location", "Batch validation" ], "usageGuide": "提供数据和 Schema 的 JSON", "usageGuide_en": "Provide JSON data and schema", "codeExample": "curl -X POST /api/data/json-validate -d '{\"data\":{},\"schema\":{}}'", "version": 1 }, { "id": "video-extract-frames-001", "name": "视频关键帧提取", "name_en": "Video Keyframe Extraction", "desc": "从视频中提取关键帧图片", "desc_en": "Extract keyframe images from video", "input": "视频文件 + 帧间隔", "input_en": "Video file + frame interval", "output": "关键帧图片列表", "output_en": "Keyframe image list", "endpoint": "/api/video/extract-frames", "endpointType": "http", "category": "media", "provenance": "seed-import", "trustSource": 0.6, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.2, "trustTime": 0.6, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "场景检测", "自定义间隔", "缩略图生成" ], "features_en": [ "Scene detection", "Custom interval", "Thumbnail generation" ], "usageGuide": "上传视频，设置帧间隔（秒）", "usageGuide_en": "Upload video, set frame interval (seconds)", "codeExample": "curl -X POST /api/video/extract-frames -F 'file=@video.mp4' -F 'interval=5'", "version": 1 }, { "id": "audio-transcribe-speech-001", "name": "语音转文字", "name_en": "Speech to Text", "desc": "将音频文件中的语音转录为文字", "desc_en": "Transcribe speech from audio files to text", "input": "音频文件（mp3/wav/m4a）", "input_en": "Audio file (mp3/wav/m4a)", "output": "转录文字", "output_en": "Transcribed text", "endpoint": "/api/audio/transcribe", "endpointType": "http", "category": "ai", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.6, "trustRisk": 0.3, "trustTime": 0.6, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "多语言支持", "说话人识别", "时间戳标记" ], "features_en": [ "Multi-language", "Speaker diarization", "Timestamp markers" ], "usageGuide": "上传音频文件，指定语言", "usageGuide_en": "Upload audio file, specify language", "codeExample": "curl -X POST /api/audio/transcribe -F 'file=@recording.mp3' -F 'lang=zh'", "version": 1 }, { "id": "text-translate-zh-en-001", "name": "中英互译", "name_en": "Chinese-English Translation", "desc": "中文与英文之间的双向翻译", "desc_en": "Bidirectional translation between Chinese and English", "input": "待翻译文本 + 源语言/目标语言", "input_en": "Source text + source/target language", "output": "翻译结果", "output_en": "Translation result", "endpoint": "/api/text/translate", "endpointType": "http", "category": "ai", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.6, "trustRisk": 0.3, "trustTime": 0.7, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "中→英", "英→中", "专业术语支持" ], "features_en": [ "Chinese→English", "English→Chinese", "Technical term support" ], "usageGuide": "指定源语言和目标语言", "usageGuide_en": "Specify source and target language", "codeExample": "curl -X POST /api/text/translate -d '{\"text\":\"你好\",\"from\":\"zh\",\"to\":\"en\"}'", "version": 1 }, { "id": "text-summarize-zh-001", "name": "中文文本摘要", "name_en": "Chinese Text Summarization", "desc": "对中文长文本进行自动摘要生成", "desc_en": "Auto-generate summaries for long Chinese text", "input": "中文文本内容", "input_en": "Chinese text content", "output": "摘要文本", "output_en": "Summary text", "endpoint": "/api/text/summarize", "endpointType": "http", "category": "ai", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.6, "trustRisk": 0.4, "trustTime": 0.7, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "抽取式摘要", "生成式摘要", "长度可控" ], "features_en": [ "Extractive summary", "Abstractive summary", "Controllable length" ], "usageGuide": "传入文本和期望摘要长度", "usageGuide_en": "Pass text and desired summary length", "codeExample": "curl -X POST /api/text/summarize -d '{\"text\":\"长文本...\",\"max_length\":200}'", "version": 1 }, { "id": "image-ocr-text-001", "name": "图片 OCR 文字识别", "name_en": "Image OCR Text Recognition", "desc": "从图片中提取文字内容，支持中英文", "desc_en": "Extract text from images, supporting Chinese and English", "input": "图片文件", "input_en": "Image file", "output": "识别出的文字内容", "output_en": "Recognized text content", "endpoint": "/api/image/ocr", "endpointType": "http", "category": "ai", "provenance": "seed-import", "trustSource": 0.7, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.6, "trustRisk": 0.3, "trustTime": 0.7, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "中英文识别", "表格识别", "手写体识别" ], "features_en": [ "Chinese/English recognition", "Table recognition", "Handwriting recognition" ], "usageGuide": "上传图片文件，返回识别文字", "usageGuide_en": "Upload image file, returns recognized text", "codeExample": "curl -X POST /api/image/ocr -F 'file=@scan.jpg' -F 'lang=zh'", "version": 1 }, { "id": "image-resize-batch-001", "name": "图片批量缩放", "name_en": "Batch Image Resize", "desc": "批量调整图片尺寸，支持多种输出格式", "desc_en": "Batch resize images with multiple output format support", "input": "图片文件列表 + 目标尺寸", "input_en": "Image file list + target dimensions", "output": "缩放后的图片", "output_en": "Resized images", "endpoint": "/api/image/resize", "endpointType": "http", "category": "media", "provenance": "seed-import", "trustSource": 0.6, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.2, "trustTime": 0.8, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "批量处理", "保持比例", "PNG/JPG/WebP输出" ], "features_en": [ "Batch processing", "Aspect ratio preservation", "PNG/JPG/WebP output" ], "usageGuide": "上传图片并指定目标宽度/高度", "usageGuide_en": "Upload images and specify target width/height", "codeExample": "curl -X POST /api/image/resize -F 'file=@photo.jpg' -F 'width=800' -F 'height=600'", "version": 1 }, { "id": "pdf-rotate-pages-001", "name": "PDF 页面旋转", "name_en": "PDF Page Rotation", "desc": "旋转 PDF 中的指定页面", "desc_en": "Rotate specific pages in a PDF document", "input": "PDF 文件 + 旋转角度（90/180/270）", "input_en": "PDF file + rotation angle (90/180/270)", "output": "旋转后的 PDF 文件", "output_en": "Rotated PDF file", "endpoint": "/api/pdf/rotate", "endpointType": "http", "category": "document", "provenance": "seed-import", "trustSource": 0.6, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.2, "trustTime": 0.8, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "指定页面旋转", "支持90/180/270度" ], "features_en": [ "Per-page rotation", "90/180/270 degree support" ], "usageGuide": "指定 PDF 文件和旋转角度", "usageGuide_en": "Specify PDF file and rotation angle", "codeExample": "curl -X POST /api/pdf/rotate -F 'file=@doc.pdf' -F 'angle=90' -F 'pages=1,3,5'", "version": 1 }, { "id": "pdf-merge-multiple-001", "name": "PDF 合并", "name_en": "PDF Merge", "desc": "合并多个 PDF 文件为一个 PDF 文件", "desc_en": "Merge multiple PDF files into a single PDF", "input": "多个 PDF 文件路径或 URL", "input_en": "Multiple PDF file paths or URLs", "output": "合并后的 PDF 文件", "output_en": "Merged PDF file", "endpoint": "/api/pdf/merge", "endpointType": "http", "category": "document", "provenance": "seed-import", "trustSource": 0.6, "trustUsage": 0, "trustUsageRate": 0, "trustSuccess": 0.5, "trustRisk": 0.3, "trustTime": 0.8, "lastUpdated": "2026-09-05", "evidence": { "count": 0, "uncertainty": 0.5 }, "features": [ "批量合并", "保持格式", "支持加密PDF" ], "features_en": [ "Batch merge", "Format preservation", "Encrypted PDF support" ], "usageGuide": "提供 PDF 文件列表，按顺序合并", "usageGuide_en": "Provide a list of PDF files, merged in order", "codeExample": "curl -X POST /api/pdf/merge -F 'files=@a.pdf' -F 'files=@b.pdf'", "version": 1 }, { "id": "sandbox-exec-020", "name": "沙箱代码执行", "name_en": "Sandbox Code Execution", "desc": "在安全隔离沙箱中执行Python/JavaScript代码并返回结果", "desc_en": "Execute Python/JavaScript code in secure isolated sandbox", "input": "代码字符串、编程语言、超时时间（可选）", "input_en": "Code string, language, timeout (optional)", "output": "标准输出、标准错误、执行时间、退出码", "output_en": "stdout, stderr, execution time, exit code", "endpoint": "mcp://docker-sandbox/exec", "endpointType": "mcp", "category": "dev", "provenance": "https://github.com/docker/docker-py", "trustSource": 0.7, "trustUsage": 3100, "trustUsageRate": 0.62, "trustSuccess": 0.85, "trustRisk": 0.28, "trustTime": 0.73, "lastUpdated": "2026-07-25", "evidence": { "count": 3100, "uncertainty": 0.22 }, "features": [ "Python/JS支持", "网络隔离", "超时控制", "资源限制" ], "features_en": [ "Python/JS support", "Network isolation", "Timeout control", "Resource limits" ], "usageGuide": "通过MCP协议传入代码和语言，在Docker沙箱中安全执行并返回输出。", "usageGuide_en": "Pass code and language via MCP, executes safely in Docker sandbox and returns output.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"exec\",\"arguments\":{\"code\":\"print(sum(range(1, 101)))\",\"lang\":\"python\",\"timeout\":10}}}", "version": 1 }, { "id": "calendar-019", "name": "日历事件创建", "name_en": "Calendar Event Creator", "desc": "创建和管理日历事件，支持iCal格式和重复规则", "desc_en": "Create and manage calendar events with iCal format and recurrence rules", "input": "事件标题、时间、地点、重复规则（可选）", "input_en": "Event title, time, location, recurrence (optional)", "output": "iCal事件对象、事件ID", "output_en": "iCal event object, event ID", "endpoint": "mcp://icalendar-server/create", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/icalendar/icalendar", "trustSource": 0.79, "trustUsage": 980, "trustUsageRate": 0.2, "trustSuccess": 0.94, "trustRisk": 0.11, "trustTime": 0.81, "lastUpdated": "2026-08-02", "evidence": { "count": 980, "uncertainty": 0.25 }, "features": [ "iCal标准", "重复规则", "多时区", "提醒设置" ], "features_en": [ "iCal standard", "Recurrence", "Multi-timezone", "Reminders" ], "usageGuide": "通过MCP协议传入事件信息，生成标准iCal格式的日历事件。", "usageGuide_en": "Pass event info via MCP, generates standard iCal format calendar event.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"create\",\"arguments\":{\"title\":\"Team Meeting\",\"start\":\"2026-09-01T10:00:00\",\"end\":\"2026-09-01T11:00:00\"}}}", "version": 1 }, { "id": "email-send-018", "name": "邮件发送", "name_en": "Email Sender", "desc": "通过SMTP或API发送邮件，支持HTML模板和附件", "desc_en": "Send emails via SMTP or API with HTML templates and attachments", "input": "收件人、主题、正文、附件（可选）", "input_en": "Recipient, subject, body, attachments (optional)", "output": "发送状态、消息ID", "output_en": "Send status, message ID", "endpoint": "mcp://resend-server/send", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/resend/resend-node", "trustSource": 0.83, "trustUsage": 2600, "trustUsageRate": 0.52, "trustSuccess": 0.96, "trustRisk": 0.14, "trustTime": 0.88, "lastUpdated": "2026-08-17", "evidence": { "count": 2600, "uncertainty": 0.23 }, "features": [ "HTML模板", "附件支持", "批量发送", "发送状态追踪" ], "features_en": [ "HTML templates", "Attachments", "Batch send", "Status tracking" ], "usageGuide": "通过MCP协议传入收件人、主题和正文，使用Resend发送邮件并返回状态。", "usageGuide_en": "Pass recipient, subject, and body via MCP, sends email via Resend and returns status.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"send\",\"arguments\":{\"to\":\"user@example.com\",\"subject\":\"Hello\",\"body\":\"

Welcome

\"}}}", "version": 1 }, { "id": "image-gen-017", "name": "图像生成", "name_en": "Image Generation", "desc": "根据文本描述生成图像，支持多种风格和尺寸", "desc_en": "Generate images from text descriptions with multiple styles and sizes", "input": "文本描述、风格、尺寸（可选）", "input_en": "Text description, style, size (optional)", "output": "生成图像的URL或Base64数据", "output_en": "Generated image URL or Base64 data", "endpoint": "mcp://stable-diffusion-server/generate", "endpointType": "mcp", "category": "media", "provenance": "https://github.com/CompVis/stable-diffusion", "trustSource": 0.65, "trustUsage": 8900, "trustUsageRate": 0.96, "trustSuccess": 0.82, "trustRisk": 0.25, "trustTime": 0.78, "lastUpdated": "2026-08-23", "evidence": { "count": 8900, "uncertainty": 0.2 }, "features": [ "文本到图像", "多种风格", "尺寸可控", "批量生成" ], "features_en": [ "Text-to-image", "Multiple styles", "Size control", "Batch generation" ], "usageGuide": "通过MCP协议传入文本描述，使用Stable Diffusion生成对应图像。", "usageGuide_en": "Pass text description via MCP, uses Stable Diffusion to generate matching image.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"generate\",\"arguments\":{\"prompt\":\"A serene mountain lake at sunset\",\"style\":\"photorealistic\",\"size\":\"1024x768\"}}}", "version": 1 }, { "id": "ner-016", "name": "命名实体识别", "name_en": "Named Entity Recognition", "desc": "从文本中识别并分类人名、地名、组织名等命名实体", "desc_en": "Identify and classify named entities (persons, locations, organizations) from text", "input": "待分析文本", "input_en": "Text to analyze", "output": "实体列表，含类型、起始位置、置信度", "output_en": "Entity list with type, position, confidence", "endpoint": "mcp://spacy-server/ner", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/explosion/spaCy", "trustSource": 0.87, "trustUsage": 4100, "trustUsageRate": 0.82, "trustSuccess": 0.95, "trustRisk": 0.08, "trustTime": 0.89, "lastUpdated": "2026-08-16", "evidence": { "count": 4100, "uncertainty": 0.22 }, "features": [ "人名/地名/组织", "位置标注", "置信度", "多语言NER" ], "features_en": [ "Person/Loc/Org", "Position tags", "Confidence", "Multi-language NER" ], "usageGuide": "通过MCP协议传入文本，使用spaCy模型进行命名实体识别并返回分类实体列表。", "usageGuide_en": "Pass text via MCP, uses spaCy model for NER and returns classified entity list.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"ner\",\"arguments\":{\"text\":\"Apple Inc. was founded by Steve Jobs in Cupertino.\"}}}", "version": 1 }, { "id": "sentiment-015", "name": "情感分析", "name_en": "Sentiment Analysis", "desc": "分析文本的情感极性（正面/负面/中性）及强度分数", "desc_en": "Analyze text sentiment polarity (positive/negative/neutral) with intensity", "input": "待分析文本", "input_en": "Text to analyze", "output": "情感标签、极性分数、情绪分布", "output_en": "Sentiment label, polarity score, emotion distribution", "endpoint": "mcp://vader-server/analyze", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/cjhutto/vaderSentiment", "trustSource": 0.82, "trustUsage": 5600, "trustUsageRate": 0.9, "trustSuccess": 0.92, "trustRisk": 0.05, "trustTime": 0.86, "lastUpdated": "2026-08-10", "evidence": { "count": 5600, "uncertainty": 0.21 }, "features": [ "正/负/中性", "强度分数", "情绪分布", "多语言" ], "features_en": [ "Pos/Neg/Neutral", "Intensity", "Emotion distribution", "Multi-language" ], "usageGuide": "通过MCP协议传入文本，使用VADER情感词典分析情感极性和强度分数。", "usageGuide_en": "Pass text via MCP, uses VADER sentiment lexicon to analyze polarity and intensity.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"analyze\",\"arguments\":{\"text\":\"This product is amazing! Highly recommended.\"}}}", "version": 1 }, { "id": "translate-014", "name": "文本翻译", "name_en": "Text Translation", "desc": "在100+语言之间进行高质量文本翻译，保留格式", "desc_en": "High-quality text translation between 100+ languages, preserving format", "input": "源文本、源语言、目标语言", "input_en": "Source text, source language, target language", "output": "翻译后文本、置信度分数", "output_en": "Translated text, confidence score", "endpoint": "prompt://translate?from={lang}&to={lang}", "endpointType": "prompt", "category": "language", "provenance": "https://github.com/argosopentech/argos-translate", "trustSource": 0.74, "trustUsage": 7800, "trustUsageRate": 0.94, "trustSuccess": 0.88, "trustRisk": 0.07, "trustTime": 0.83, "lastUpdated": "2026-08-19", "evidence": { "count": 7800, "uncertainty": 0.2 }, "features": [ "100+语言", "格式保留", "置信度输出", "批量翻译" ], "features_en": [ "100+ languages", "Format preservation", "Confidence score", "Batch translation" ], "usageGuide": "通过Prompt协议传入源文本和语言对，自动翻译并返回翻译结果和置信度。", "usageGuide_en": "Pass source text and language pair via Prompt, returns translation and confidence score.", "codeExample": "{\"prompt\":\"translate\",\"text\":\"Hello, how are you?\",\"from\":\"en\",\"to\":\"zh\"}", "version": 1 }, { "id": "db-query-013", "name": "数据库查询", "name_en": "Database Query", "desc": "对SQLite数据库执行SQL查询，返回结构化结果集", "desc_en": "Execute SQL queries against SQLite databases, return structured results", "input": "数据库路径、SQL查询语句", "input_en": "Database path, SQL query string", "output": "查询结果集（JSON数组）、列名、执行时间", "output_en": "Query result set (JSON array), column names, execution time", "endpoint": "mcp://sqlite-server/query", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/sqlite/sqlite", "trustSource": 0.91, "trustUsage": 4500, "trustUsageRate": 0.88, "trustSuccess": 0.98, "trustRisk": 0.06, "trustTime": 0.91, "lastUpdated": "2026-08-21", "evidence": { "count": 4500, "uncertainty": 0.21 }, "features": [ "SQLite支持", "参数化查询", "执行时间", "列名输出" ], "features_en": [ "SQLite support", "Parameterized", "Timing", "Column names" ], "usageGuide": "通过MCP协议指定数据库路径和执行SQL查询，返回结构化结果集和列信息。", "usageGuide_en": "Specify database path and SQL query via MCP, returns structured result set and column info.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"query\",\"arguments\":{\"db\":\"/data/app.db\",\"sql\":\"SELECT * FROM users WHERE active = 1\"}}}", "version": 1 }, { "id": "file-read-012", "name": "文件读取", "name_en": "File Reader", "desc": "读取本地文件系统中任意文本文件，支持多种编码格式", "desc_en": "Read any text file from local filesystem with multi-encoding support", "input": "文件路径、编码格式（可选）", "input_en": "File path, encoding (optional)", "output": "文件文本内容、行数、编码信息", "output_en": "File text content, line count, encoding info", "endpoint": "mcp://filesystem-server/read", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/modelcontextprotocol/servers", "trustSource": 0.94, "trustUsage": 9200, "trustUsageRate": 0.95, "trustSuccess": 0.99, "trustRisk": 0.04, "trustTime": 0.93, "lastUpdated": "2026-08-24", "evidence": { "count": 9200, "uncertainty": 0.2 }, "features": [ "多编码支持", "大文件流式读取", "行号输出", "元数据提取" ], "features_en": [ "Multi-encoding", "Streaming", "Line numbers", "Metadata" ], "usageGuide": "通过MCP协议传入文件路径，自动检测编码并读取文本内容，返回带行号的内容。", "usageGuide_en": "Pass file path via MCP, auto-detects encoding and reads text content with line numbers.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"read\",\"arguments\":{\"path\":\"/project/src/main.py\"}}}", "version": 1 }, { "id": "web-search-011", "name": "联网搜索", "name_en": "Web Search", "desc": "执行互联网搜索，返回结构化结果含标题、摘要和URL", "desc_en": "Execute internet search, returning structured results with title, snippet, and URL", "input": "搜索关键词、结果数量（可选）", "input_en": "Search keywords, result count (optional)", "output": "搜索结果列表，含标题、摘要、URL", "output_en": "Search result list with title, snippet, URL", "endpoint": "mcp://searxng-server/search", "endpointType": "mcp", "category": "ai", "provenance": "https://github.com/searxng/searxng", "trustSource": 0.76, "trustUsage": 6800, "trustUsageRate": 0.92, "trustSuccess": 0.9, "trustRisk": 0.18, "trustTime": 0.87, "lastUpdated": "2026-08-26", "evidence": { "count": 6800, "uncertainty": 0.21 }, "features": [ "多引擎聚合", "隐私保护", "结构化结果", "时间范围筛选" ], "features_en": [ "Multi-engine", "Privacy", "Structured results", "Time range filter" ], "usageGuide": "通过MCP协议传入搜索关键词，使用SearXNG多引擎聚合搜索，返回结构化结果。", "usageGuide_en": "Pass search keywords via MCP, uses SearXNG multi-engine meta-search, returns structured results.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"search\",\"arguments\":{\"q\":\"latest AI research 2026\",\"count\":10}}}", "version": 1 }, { "id": "doc-diff-010", "name": "文档差异对比", "name_en": "Document Diff", "desc": "对比两份文本的差异，生成行级和字符级变更标记", "desc_en": "Compare two texts and generate line-level and character-level diff", "input": "原文本、修改后文本", "input_en": "Original text, modified text", "output": "差异标记文本、变更统计", "output_en": "Diff-marked text, change statistics", "endpoint": "mcp://difftastic-server/diff", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/Wilfred/difftastic", "trustSource": 0.86, "trustUsage": 1500, "trustUsageRate": 0.3, "trustSuccess": 0.95, "trustRisk": 0.09, "trustTime": 0.84, "lastUpdated": "2026-08-08", "evidence": { "count": 1500, "uncertainty": 0.24 }, "features": [ "行级对比", "字符级对比", "变更统计", "统一diff格式" ], "features_en": [ "Line-level diff", "Char-level diff", "Change stats", "Unified diff format" ], "usageGuide": "通过MCP协议传入原文本和修改后文本，生成行级和字符级差异标记。", "usageGuide_en": "Pass original and modified text via MCP, generates line-level and character-level diff.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"diff\",\"arguments\":{\"original\":\"Hello World\",\"modified\":\"Hello SkillMesh\"}}}", "version": 1 }, { "id": "regex-gen-009", "name": "正则表达式生成", "name_en": "Regex Generator", "desc": "根据自然语言描述生成匹配正则表达式，附带解释和测试用例", "desc_en": "Generate matching regex from natural language description", "input": "自然语言描述（如：匹配邮箱地址）", "input_en": "Natural language description", "output": "正则表达式、解释、测试用例", "output_en": "Regex pattern, explanation, test cases", "endpoint": "prompt://regex?desc={text}", "endpointType": "prompt", "category": "ai", "provenance": "https://github.com/rust-lang/regex", "trustSource": 0.68, "trustUsage": 3200, "trustUsageRate": 0.64, "trustSuccess": 0.87, "trustRisk": 0.06, "trustTime": 0.71, "lastUpdated": "2026-07-28", "evidence": { "count": 3200, "uncertainty": 0.22 }, "features": [ "自然语言输入", "表达式解释", "测试用例生成", "多引擎兼容" ], "features_en": [ "Natural language input", "Pattern explanation", "Test case generation", "Multi-engine" ], "usageGuide": "通过Prompt协议传入自然语言描述，自动生成正则表达式、解释和测试用例。", "usageGuide_en": "Pass natural language description via Prompt protocol, auto-generates regex, explanation, and test cases.", "codeExample": "{\"prompt\":\"regex\",\"desc\":\"匹配中国大陆手机号码\",\"engine\":\"javascript\"}", "version": 1 }, { "id": "timezone-008", "name": "时区转换", "name_en": "Timezone Converter", "desc": "将任意时间戳转换为目标时区，支持夏令时和历史时区", "desc_en": "Convert any timestamp to target timezone with DST and historical support", "input": "时间字符串、源时区、目标时区", "input_en": "Time string, source timezone, target timezone", "output": "转换后的时间字符串、偏移量", "output_en": "Converted time string, offset", "endpoint": "mcp://dateutil-server/convert", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/dateutil/dateutil", "trustSource": 0.95, "trustUsage": 780, "trustUsageRate": 0.16, "trustSuccess": 0.99, "trustRisk": 0.02, "trustTime": 0.95, "lastUpdated": "2026-08-25", "evidence": { "count": 780, "uncertainty": 0.26 }, "features": [ "夏令时支持", "历史时区", "IANA时区库", "偏移量输出" ], "features_en": [ "DST support", "Historical zones", "IANA database", "Offset output" ], "usageGuide": "通过MCP协议指定源时区和目标时区，自动处理夏令时和历史时区规则。", "usageGuide_en": "MCP call with source and target timezone, auto-handles DST and historical timezone rules.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"convert\",\"arguments\":{\"from\":\"America/New_York\",\"to\":\"Asia/Shanghai\",\"time\":\"2024-06-01 12:00\"}}}", "version": 1 }, { "id": "csv-json-007", "name": "数据格式转换", "name_en": "Data Format Converter", "desc": "在CSV、JSON、XML、YAML之间双向转换，保留数据类型", "desc_en": "Bidirectional conversion between CSV, JSON, XML, YAML", "input": "源数据字符串、源格式、目标格式", "input_en": "Source data string, source format, target format", "output": "转换后的数据字符串", "output_en": "Converted data string", "endpoint": "mcp://sqlite-utils/convert", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/simonw/sqlite-utils", "trustSource": 0.9, "trustUsage": 4200, "trustUsageRate": 0.84, "trustSuccess": 0.98, "trustRisk": 0.03, "trustTime": 0.92, "lastUpdated": "2026-08-15", "evidence": { "count": 4200, "uncertainty": 0.22 }, "features": [ "CSV/JSON/XML/YAML", "双向转换", "类型保留", "嵌套结构支持" ], "features_en": [ "CSV/JSON/XML/YAML", "Bidirectional", "Type preservation", "Nested structures" ], "usageGuide": "通过MCP协议传入源数据、源格式和目标格式，自动完成双向转换。", "usageGuide_en": "MCP call with source data, source format, and target format for auto bidirectional conversion.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"convert\",\"arguments\":{\"data\":\"...\",\"from\":\"csv\",\"to\":\"json\"}}}", "version": 1 }, { "id": "text-summarize-005", "name": "文本摘要生成", "name_en": "Text Summarization", "desc": "对长文本生成提取式和生成式摘要，支持指定长度", "desc_en": "Generate extractive and abstractive summaries for long text", "input": "长文本字符串、期望摘要长度", "input_en": "Long text string, desired summary length", "output": "摘要文本、关键句索引", "output_en": "Summary text, key sentence indices", "endpoint": "prompt://summarize?max_length={n}", "endpointType": "prompt", "category": "language", "provenance": "https://github.com/huggingface/transformers", "trustSource": 0.72, "trustUsage": 5600, "trustUsageRate": 0.9, "trustSuccess": 0.89, "trustRisk": 0.05, "trustTime": 0.85, "lastUpdated": "2026-08-22", "evidence": { "count": 5600, "uncertainty": 0.21 }, "features": [ "提取式摘要", "生成式摘要", "长度可控", "关键句索引" ], "features_en": [ "Extractive summary", "Abstractive summary", "Length control", "Key sentence index" ], "usageGuide": "通过Prompt协议传入长文本和期望长度，生成两种模式的摘要并标记关键句。", "usageGuide_en": "Pass long text and desired length via Prompt protocol, generates two-mode summaries with key sentences.", "codeExample": "{\"prompt\":\"summarize\",\"text\":\"Long article text here...\",\"max_length\":200}", "version": 1 }, { "id": "image-ocr-004", "name": "图片OCR识别", "name_en": "Image OCR Recognition", "desc": "识别图片中的印刷体和手写体文字，支持多语言", "desc_en": "Recognize printed and handwritten text in images, multi-language support", "input": "图片文件URL或Base64", "input_en": "Image file URL or Base64", "output": "识别文本、置信度分数、坐标框", "output_en": "Recognized text, confidence scores, bounding boxes", "endpoint": "mcp://tesseract-server/recognize", "endpointType": "mcp", "category": "media", "provenance": "https://github.com/tesseract-ocr/tesseract", "trustSource": 0.88, "trustUsage": 3400, "trustUsageRate": 0.68, "trustSuccess": 0.96, "trustRisk": 0.08, "trustTime": 0.9, "lastUpdated": "2026-08-18", "evidence": { "count": 3400, "uncertainty": 0.22 }, "features": [ "印刷体识别", "手写体识别", "多语言支持", "坐标框输出" ], "features_en": [ "Print recognition", "Handwriting", "Multi-language", "Bounding boxes" ], "usageGuide": "通过MCP协议传入图片路径，自动识别图片中文字并返回文本、置信度和坐标框信息。", "usageGuide_en": "Pass image path via MCP, auto-recognizes text and returns text, confidence, and bounding boxes.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"recognize\",\"arguments\":{\"path\":\"/data/scan.png\",\"lang\":\"chi_sim+eng\"}}}", "version": 1 }, { "id": "web-scrape-003", "name": "网页内容抓取", "name_en": "Web Content Scraper", "desc": "抓取任意网页的可见文本内容，自动去除广告和导航", "desc_en": "Scrape visible text from any webpage, auto-removing ads and navigation", "input": "目标网页URL", "input_en": "Target webpage URL", "output": "纯文本内容、标题、元数据", "output_en": "Plain text content, title, metadata", "endpoint": "mcp://crawlee-server/scrape", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/apify/crawlee", "trustSource": 0.78, "trustUsage": 2100, "trustUsageRate": 0.42, "trustSuccess": 0.91, "trustRisk": 0.22, "trustTime": 0.75, "lastUpdated": "2026-08-05", "evidence": { "count": 2100, "uncertainty": 0.23 }, "features": [ "自动去广告", "导航栏过滤", "元数据提取", "JavaScript渲染支持" ], "features_en": [ "Auto ad removal", "Nav filtering", "Metadata extraction", "JS rendering" ], "usageGuide": "通过MCP协议传入目标URL，自动抓取页面可见文本并去除广告和导航栏。", "usageGuide_en": "Send MCP call with target URL, auto-scrapes visible text removing ads and nav bars.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"scrape\",\"arguments\":{\"url\":\"https://example.com/article\"}}}", "version": 1 }, { "id": "pdf-extract-table-002", "name": "PDF表格提取", "name_en": "PDF Table Extraction", "desc": "从PDF文件中提取结构化表格数据，支持多页多表", "desc_en": "Extract structured table data from PDFs, supporting multi-page multi-table", "input": "PDF文件URL、页码范围（可选）", "input_en": "PDF file URL, page range (optional)", "output": "JSON格式表格数组，含行列结构", "output_en": "JSON array of tables with row/column structure", "endpoint": "mcp://pdfplumber-server/extract-tables", "endpointType": "mcp", "category": "data", "provenance": "https://github.com/jsvine/pdfplumber", "trustSource": 0.85, "trustUsage": 890, "trustUsageRate": 0.18, "trustSuccess": 0.94, "trustRisk": 0.15, "trustTime": 0.82, "lastUpdated": "2026-08-12", "evidence": { "count": 890, "uncertainty": 0.25 }, "features": [ "多页多表提取", "JSON结构化输出", "行列自动识别", "合并单元格处理" ], "features_en": [ "Multi-page/table", "JSON output", "Auto row/col detect", "Merged cells" ], "usageGuide": "通过MCP协议调用，指定PDF文件路径和页码范围，返回JSON格式的表格数组。", "usageGuide_en": "Invoke via MCP protocol, specify PDF path and page range, returns JSON table array.", "codeExample": "{\"method\":\"tools/call\",\"params\":{\"name\":\"extract-tables\",\"arguments\":{\"path\":\"/data/report.pdf\",\"pages\":\"1-5\"}}}", "version": 1 } ] }