GraphRAG
Enables querying a hybrid system that combines Neo4j graph database and Qdrant vector database for powerful semantic and graph-based document retrieval through the Model Context Protocol.
What is GraphRAG?
GraphRAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables querying a hybrid system that combines neo4j graph database and qdrant vector database for powerful semantic and graph-based document retrieval through the model context protocol.
Enables querying a hybrid system that combines Neo4j graph database and Qdrant vector database for powerful semantic and graph-based document retrieval through the Model Context Protocol.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables querying a hybrid system that combines Neo4j graph d
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx graphrag-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about GraphRAG
What is GraphRAG?
GraphRAG is a Model Context Protocol (MCP) server that enables querying a hybrid system that combines neo4j graph database and qdrant vector database for powerful semantic and graph-based document retrieval through the model context protocol. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install GraphRAG?
Follow the installation instructions on the GraphRAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with GraphRAG?
GraphRAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is GraphRAG free to use?
Yes, GraphRAG is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up GraphRAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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