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graphrag_mcp

rileylemm/graphrag_mcp

GraphRAG MCP provides a seamless integration between large language models and a hybrid retrieval system that leverages the strengths of both graph databases (Neo4j) and vector databases (Qdrant). This enables.

Install

docker run \

Client configuration

{
  "mcpServers": {
    "GraphRAG": {
      "command": "/path/to/graphrag_mcp/run_server.sh"
    }
  }
}

Environment variables

NEO4J_USERNEO4J_PASSWORDQDRANT_HOST
GitHub stars
7
Category
Knowledge Management, Search Tools
License
MIT
Updated
Oct 6, 2026

About graphrag_mcp

:

A Model Context Protocol server for querying a hybrid graph and vector database system, combining Neo4j (graph database) and Qdrant (vector database) for powerful semantic and graph-based document retrieval.

Features

  • Semantic search using sentence embeddings and Qdrant

  • Graph-based context expansion using Neo4j

  • Hybrid search combining both approaches

  • MCP tools and resources for LLM integration

  • Full documentation of Neo4j schema and Qdrant collection information

Tools (2)

  • search_documentation

    Search for information using semantic search

  • hybrid_search

    Search using both semantic and graph-based approaches

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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