MCP対応のRAGシステム。Markdownドキュメントをベクトル化し、自然言語で高速検索。LibSQL、Qdrant、PostgreSQLに対応してます。

Installation

⭐ RecommendedNode
node your-ragdb-mcp-path/rag-mcp/dist/index.js
View configuration snippet
{
  "mcpServers": {
    "rag-server": {
      "command": "node",
      "args": [
        "your-ragdb-mcp-path/rag-mcp/dist/index.js"
      ],
      "env": {
        "RAG_DATABASE_TYPE": "libsql",
        "RAG_CONNECTION_URL": "file:your-ragdb-mcp-path/rag-mcp/libsql/rag.db",
        "EMBEDDING_PROVIDER": "google",
        "EMBEDDING_MODEL": "text-embedding-004",
        "EMBEDDING_API_KEY": "your-google-api-key",
        "EMBEDDING_DIMENSIONS": "768",
        "RAG_CHUNK_SIZE": "512",
        "RAG_CHUNK_OVERLAP": "50",
        "RAG_TOP_K": "5",
        "RAG_STRATEGY": "markdown",
        "AUTO_CREATE_INDEXES": "documents,technical",
        "LOG_LEVEL": "info"
      }
    }
  }
}

💡 Tip: Make sure you have the appropriate package manager installed. Refer to the official documentation for detailed installation instructions.

Compatibility Matrix

Filter:

Cursor

STDIO
stdio:From mcp.so (unverified)

Claude Desktop

STDIO
stdio:From mcp.so (unverified)

MCP Compatible

STDIO
stdio:From mcp.so (unverified)
Verified - Tested by community
Unverified - Not yet tested
⚡ STDIO🌊 SSE🌐 HTTP

Server Information

License:unknown
Classification:active
Source:Data aggregated from public MCP directories

Quick Stats

Transports:
STDIO
Compatible Clients:3
Install Methods:1

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