用以访问基于位置的天气数据，包括实况天气、逐小时预报、空气质量AQI，灾害预警、分钟级降水、生活建议、台风等天气数据服务
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# MCP Weather Service (Internal Use Only) 基于 Model Context Protocol (MCP)的天气服务实现（仅限内部使用） ## 功能特性 - 实时天气查询 - 天气预报（小时级和天级） - 空气质量查询 - 生活指数建议 - 日出日落时间 - 气象灾害预警 - 台风信息 - 降水预报 ## MCP 使用 ### 安装 uv uv 是一款高性能的 python 环境管理工具，可以参考[官方教程](https://github.com/astral-sh/uv)安装并熟悉使用。 ### MCP 配置 首先配置环境变量 UV_INDEX、WEATHER_ENDPOINT、APP_ID、APP_SECRET： ```bash export UV_INDEX=xxxx export WEATHER_ENDPOINT=xxxx export APP_ID=xxxx export APP_SECRET=xxxx ``` 然后，使用 uvx 启动 MCP 服务，服务将通过 streamable-http 协议在 http://localhost:8000/mcp 启动。 ``` uvx power-ai-weather-mcp ``` ## 数据结构说明 服务返回的数据使用了以字段描述为键（key）的字典结构，这样能更直观地理解返回数据的含义。例如： ```json { "天气状况": "晴", "温度": 25.6, "体感温度": 24.8, "相对湿度": 45 } ``` 而不是传统的以字段名为键的结构： ```json { "text": "晴", "temperature": 25.6, "feels_like": 24.8, "humidity": 45 } ``` ## 许可证 MIT License
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