What is the GraphRAG MCP Server?
The GraphRAG MCP Server is a hybrid server that integrates graph and vector databases, enabling advanced semantic and graph-based document retrieval.
How does the MCP Server enhance data retrieval?
It combines semantic search using Qdrant with graph-based context expansion via Neo4j, providing a comprehensive and precise data retrieval mechanism.
What are the prerequisites for setting up the MCP Server?
You need Python 3.12+, Neo4j, and Qdrant running on your local machine, with your document data indexed in both databases.
How does the MCP Server integrate with LLMs?
The server follows the Model Context Protocol, allowing seamless integration with MCP-enabled clients like Claude and other LLMs.
Can the MCP Server be used for customer support?
Yes, by integrating with customer support systems, it provides faster and more accurate responses by accessing relevant information through hybrid search capabilities.
GraphRAG MCP Server
Project Details
- rileylemm/graphrag_mcp
- MIT License
- Last Updated: 4/17/2025
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