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oraichain

RAGFlow MCP

by oraichain
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Python

ragflow-mcp

简易 RAGFlow MCP。仅在 RAGFlow 团队发布官方 MCP 服务器之前有效

安装

我们提供两种安装方法。建议使用方法 2（使用 uv），因为它安装速度更快，并且依赖关系管理也更完善。

方法 1：使用 conda

  1. 创建一个新的 conda 环境：

conda create -n ragflow_mcp python=3.12
conda activate ragflow_mcp

  1. 克隆存储库：

git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcp

  1. 安装依赖项：

pip install -r requirements.txt

方法二：使用 uv（推荐）

  1. 安装 uv（快速 Python 包安装程序和解析器）：

curl -LsSf https://astral.sh/uv/install.sh | sh

  1. 克隆存储库：

git clone https://github.com/oraichain/ragflow-mcp.git
cd ragflow-mcp

  1. 创建一个新的虚拟环境并激活它：

uv venv --python 3.12
source .venv/bin/activate  # On Unix/macOS
# Or on Windows:
# .venv\Scripts\activate

  1. 安装依赖项：

uv pip install -r pyproject.toml

运行 MCP Server Inspector 进行调试

  1. 启动 MCP 服务器

  2. 使用以下命令启动检查器：

# you can choose a different server
SERVER_PORT=9000 npx @modelcontextprotocol/inspector

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