ragflow-mcp
@oraichain
关于 ragflow-mcp
Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server
基本信息
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"
]
}
}
}工具
未检测到工具
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
—
FAQ from ragflow-mcp
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.
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).
How do I debug the server?
Start the MCP server, then run the inspector with SERVER_PORT=9000 npx @modelcontextprotocol/inspector.
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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