Combines Neo4j and Qdrant databases for document search with semantic relevance and context, serving as a powerful MCP server for structured and vector search.
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Repository: https://github.com/rileylemm/graphrag_mcp
Category: data-access-integration-mcp-servers
Tags: mcp, semantic-search, vector-database, neo4j, qdrant
graphrag-mcp is a Model Context Protocol (MCP) server designed to interact with a hybrid graph and vector database system, combining Neo4j (graph database) and Qdrant (vector database). It enables structured and semantic document search, making it suitable for applications needing both graph-based and semantic retrieval.
search_documentation: Performs semantic search for information.hybrid_search: Executes both semantic and graph-based search approaches..env file for database connections.No pricing information provided. The project is open source under the MIT License.
MIT License.
If you use or adapt this MCP server, attribution to Riley Lemm and a link back to the repository is requested.