{
  "protocol": "CCP",
  "version": "v1.0.0",
  "query": "demo",
  "count": 20,
  "federated": false,
  "results": [
    {
      "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,
      "_semanticScore": 0.64,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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\":\"<h1>Welcome</h1>\"}}}",
      "version": 1,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.62,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "id": "test-math-calc-021",
      "name": "????",
      "name_en": "Math Calculation",
      "desc": "????????",
      "desc_en": "Execute complex math operations",
      "input": "????????",
      "input_en": "Math expression string",
      "output": "????",
      "output_en": "Computed result",
      "endpoint": "mcp://math-server/calc",
      "endpointType": "mcp",
      "category": "dev",
      "provenance": "",
      "trustSource": 0.8,
      "trustUsage": 0,
      "trustUsageRate": 0,
      "trustSuccess": 0.95,
      "trustRisk": 0.1,
      "trustTime": 0.9,
      "lastUpdated": "2026-08-30",
      "evidence": {
        "count": 0,
        "uncertainty": 0.5
      },
      "features": [],
      "features_en": [],
      "usageGuide": "",
      "usageGuide_en": "",
      "codeExample": "",
      "version": 1,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.61,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.6,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.6,
      "_source": "local"
    },
    {
      "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": 3201,
      "trustUsageRate": 0.7,
      "trustSuccess": 0.97,
      "trustRisk": 0.08,
      "trustTime": 0.93,
      "lastUpdated": "2026-09-06",
      "evidence": {
        "count": 3201,
        "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": 2,
      "_semanticScore": 0.6,
      "_source": "local"
    },
    {
      "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,
      "_semanticScore": 0.6,
      "_source": "local"
    }
  ]
}