RAGFlow MCP Server

Example Use Cases

• 1

  Search and retrieve relevant documents from RAGFlow datasets using natural language queries.

• 2

  Structured and paginated document retrieval results compatible with the MCP protocol.

• 3

  Seamless integration with GitHub Copilot and other MCP clients for enhanced code assistance.

Description

The RAGFlow MCP Server implements the Model Context Protocol to enable AI assistants like GitHub Copilot to search and retrieve relevant documents from RAGFlow datasets. It supports structured JSON responses with pagination, robust error handling, and asynchronous operations. The server is cross-platform and can be deployed via Docker or run directly with Python, facilitating seamless integration with MCP-compatible clients.