EmbeDocs-MCP/mcp.json at main · romiluz13/EmbeDocs-MCP · GitHub

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{
  "name": "embedocs-mcp",
  "version": "1.5.0",
  "description": "Transform any GitHub repository into an intelligent knowledge base for AI assistants.",
  "author": "Rom Iluz",
  "license": "MIT",
  "runtime": "node",
  "main": "dist/index.js",
  "repository": "https://github.com/romiluz13/EmbeDocs-MCP",
  "homepage": "https://github.com/romiluz13/EmbeDocs-MCP#readme",
  "tools": [
    {
      "name": "mongodb-search",
      "description": "PRIMARY search tool. RRF hybrid (vector + keyword). Always fetch full context after using this.",
      "parameters": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Natural language search query"
          },
          "limit": {
            "type": "number",
            "description": "Number of results to return",
            "default": 5,
            "minimum": 1,
            "maximum": 20
          }
        },
        "required": ["query"]
      }
    },
    {
      "name": "mongodb-mmr-search",
      "description": "ADVANCED search for diversity (MMR). Use when you need multiple different perspectives.",
      "parameters": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Natural language search query"
          },
          "limit": {
            "type": "number",
            "description": "Number of diverse results to return",
            "default": 5,
            "minimum": 1,
            "maximum": 20
          },
          "fetchK": {
            "type": "number",
            "description": "Initial candidates considered for diversity optimization",
            "default": 20,
            "minimum": 5,
            "maximum": 50
          },
          "lambdaMult": {
            "type": "number",
            "description": "Relevance vs diversity balance: 1.0=relevance, 0.0=diversity",
            "default": 0.7,
            "minimum": 0.0,
            "maximum": 1.0
          }
        },
        "required": ["query"]
      }
    },
    {
      "name": "mongodb-fetch-full-context",
      "description": "Fetch COMPLETE file content by filename/product. Always use after search.",
      "parameters": {
        "type": "object",
        "properties": {
          "filename": {
            "type": "string",
            "description": "Exact filename from search results (title)"
          },
          "product": {
            "type": "string",
            "description": "Product/repository identifier from search results"
          },
          "removeOverlap": {
            "type": "boolean",
            "description": "Remove overlapping content between chunks",
            "default": true
          }
        },
        "required": ["filename", "product"]
      }
    },
    {
      "name": "mongodb-status",
      "description": "System health and configuration status.",
      "parameters": {
        "type": "object",
        "properties": {}
      }
    }
  ],
  "setup": {
    "required_env": [
      "MONGODB_URI",
      "VOYAGE_API_KEY"
    ],
    "setup_command": "embedocs-setup",
    "index_command": "embedocs-index"
  },
  "capabilities": {
    "search": true,
    "semantic": true,
    "vector": true,
    "multilingual": false
  },
  "requirements": {
    "node": ">=18.0.0",
    "mongodb": "Atlas cluster with vector search",
    "voyage": "API key for embeddings"
  }
}