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Ragflow MCP Server

@oraichain

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

oraichain

关于 Ragflow MCP Server

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

Ragflow MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Ragflow MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

—

常见问题

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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