Overview

Rag Knowledge Graph MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tools

Tool	Description
index_document	Index a document for RAG retrieval. Generates embeddings and extracts entities.
rag_query	Query the knowledge base. Methods: vector (semantic), keyword (FTS5), hybrid (bo
add_graph_edge	Add a relationship to the knowledge graph.
graph_query	Traverse the knowledge graph from an entity to find connections.
get_knowledge_stats	Get knowledge base statistics.

Installation

pip install meok-rag-knowledge-graph-mcp

Usage with Claude Desktop

Add to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "rag-knowledge-graph": {
      "command": "python",
      "args": ["-m", "meok_rag_knowledge_graph_mcp.server"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

# This server exposes 5 tool(s) via MCP
# See server.py for full implementation

License

MIT © MEOK AI Labs