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数据分析助手

本地调试

安装依赖包

uv sync

启动命令(如下是讲课的时候的目录,同学需要根据自己的实际情况调整)

uv --directory /Users/morris/Desktop/coding/mcp-data-analzyer-imooc run main.py

提示词

分析{需要分析的文件路径}的各个方面,包含文字和图表,将分析结果保存为markdown格式的分析报告, 分析报告保存到{文件保存路径}目录下

MCP 配置

{
   "mcp-data-analyzer":{
       "command": "uvx",
      "args": ["mcp-data-analyzer"]
   }
}

对外分享

三步:
01 账号申请
02 上传压缩包到pypi
03 测试效果

Metadata

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