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Ragflow MCP Server

@oraichain

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

oraichain

About Ragflow MCP Server

Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server

Ragflow MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ragflow-mcp": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12"
      ]
    }
  }
}

Ragflow MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is ragflow-mcp?

A simple MCP server for RAGFlow, intended as a temporary solution until the official RAGFlow MCP server is released.

How to use ragflow-mcp?

Install via conda or uv (recommended), then start the MCP server and optionally run the inspector with SERVER_PORT=9000 npx @modelcontextprotocol/inspector for debugging.

Key features of ragflow-mcp

  • Simple integration with RAGFlow via MCP protocol
  • Two installation methods: conda and uv
  • Support for MCP Server Inspector debugging

Use cases of ragflow-mcp

—

Frequently asked questions

1

What is the purpose of ragflow-mcp?

It provides a temporary MCP server for RAGFlow until the official RAGFlow team releases their own MCP server.

2

How do I install ragflow-mcp?

Two methods are available: using conda (create environment, clone repo, install dependencies with pip) or using uv (install uv, clone repo, create virtual environment, install dependencies with uv pip).

3

How do I debug the server?

Start the MCP server, then run the inspector with `SERVER_PORT=9000 npx @modelcontextprotocol/inspector`.

4

What are the runtime requirements?

Python 3.12 is required. No other dependencies are mentioned beyond those in requirements.txt/pyproject.toml.

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