ChatBI MCP Server
Enables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.
README
ChatBI MCP Server
准备环境
配置LLM API Key
cp .env.example .env
编辑.env文件，填写LLM信息，要生成代码，建议填写相对比较强的模型，比如GLM 4.5、Qwen-235B-A22B、Kimi K2等，至少Qwen3-32B，规模再小的生成代码质量会比较差，分析效果差。
安装依赖
uv venv .venv --python=3.11
source .venv/bin/activate
uv pip install -r requirements.txt
运行服务
cd src
python pandas_mcp_server.py
使用
配置ChatBI MCP Server
使用任意支持MCP Server的客户端，比如Cherry Studio，配置如下：
其中验证信息，在config.yaml中，可以自行修改。默认值为eyJzdWIiOiAidXNlcjEyMyIsICJpYXQiOiAxNzUxODA5ODIwLCAiZXhwIjogMTc1MTgxMzQyMH0。
注意：超时时间设置长一点，因为涉及LLM生成代码、如果出错还需要改错
添加完成后，点击“保存”，然后点击又上方的开启选项，切换到“工具”标签页：
如果能正常列出工具，说明配置正确。
使用ChatBI MCP Server
常规统计
使用时，记得开启这个MCP Server：
可视化
结合mcp-server-chart使用
综合运用
通过指令，自动化数据分析：
生成数据分析计划：
开始分析：
结果报告：
生成的看板：
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