Rag Knowledge Graph MCP

MCP server for rag knowledge graph mcp operations

PyPI License: MIT MEOK AI Labs

Overview

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

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.

pip install meok-rag-knowledge-graph-mcp

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"]
    }
  }
}

from mcp.server.fastmcp import FastMCP

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

A

license - permissive license

-

quality - not tested

B

maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)