Graphrag MCP Server

Graphrag mcp mcp server connects Graphrag MCP to AI assistants that speak the Model Context Protocol. 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.

What Graphrag MCP does

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.

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:

Key capabilities

• 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

Installing the graphrag mcp mcp server

Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.

Configuration

The server reads one environment variable: QDRANT_HOST. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

• Python 3.12+ - Neo4j running on localhost:7687 (default configuration) - Qdrant running on localhost:6333 (default configuration) - Document data indexed in both databases

Where it fits

Database servers turn schema archaeology and ad-hoc reporting into conversation, which is why they tend to be the second or third server people install. Graphrag MCP sits in that group. Worth comparing against the other databases servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

• This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
• Maintained by rileylemm, written in Python.
• MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the graphrag mcp mcp server actually does with your data.
• Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.