graphrag_mcp
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A Model Context Protocol server for querying a hybrid graph and vector database system, combining Neo4j and Qdrant 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 semantic search through document embeddings, graph-based context expansion following relationships, and hybrid search combining vector similarity with graph relationships. It is fully integrated with Claude and other LLMs through MCP, following the Model Context Protocol specification, making it compatible with any MCP-enabled client. The server allows for semantic search using sentence embeddings and Qdrant, graph-based context expansion using Neo4j, and hybrid search combining both approaches. It also includes MCP tools and resources for LLM integration and provides full documentation of Neo4j schema and Qdrant collection information.
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
search_documentation
Search for information using semantic search
hybrid_search
Search using both semantic and graph-based approaches
