MCP Server for LightRAG (RazumHub fork with HTTPS support and JWT auto-renewal)
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[](https://mseep.ai/app/shemhamforash23-lightrag-mcp) # LightRAG MCP Server MCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol. ## Description LightRAG MCP Server is a bridge between LightRAG API and MCP-compatible clients. It allows using LightRAG (Retrieval-Augmented Generation) capabilities in various AI tools that support the MCP protocol. ### Key Features - **Information Retrieval**: Execute semantic and keyword queries to documents - **Document Management**: Upload, index, and track document status - **Knowledge Graph Operations**: Manage entities and relationships in the knowledge graph - **Monitoring**: Check LightRAG API status and document processing ## Installation This server is designed to be used as an MCP server and should be installed in a virtual environment using uv, not as a system-wide package. ### Development Installation ```bash # Create a virtual environment uv venv --python 3.11 # Install the package in development mode uv pip install -e . ``` ## Requirements - Python 3.11+ - Running LightRAG API server ## Usage LightRAG MCP server supports two MCP transport modes: - **stdio (default)**: run through an MCP client configuration file (`mcp-config.json`) - **streamable-http**: run as a standalone HTTP server for remote MCP clients ### Command Line Options LightRAG API connection: - `--host`: LightRAG API host (default: localhost) - `--port`: LightRAG API port (default: 9621) - `--api-key`: LightRAG API key (optional) MCP transport: - `--mcp-transport`: MCP transport (`stdio` or `streamable-http`, default: stdio) - `--mcp-host`: MCP HTTP host (default: 127.0.0.1) - `--mcp-port`: MCP HTTP port (default: 8000) - `--mcp-streamable-http-path`: Streamable HTTP endpoint path (default: /mcp) - `--mcp-stateless-http`: Enable stateless Streamable HTTP …
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