What API key is used by the server?
A demo API key is included in the package. For production use, you should obtain your own API key from [QWeather](https://dev.qweather.com/).
@yoyooyooo
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-weather-server-yoyooyooo": {
"command": "npx",
"args": [
"mcp-weather-api"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol (MCP) server implementation for weather information, providing current weather data and forecasts using the 和风天气 (QWeather) API. It is intended for developers who want to integrate weather data into AI applications.
Install via npm install mcp-weather-api or run directly with npx mcp-weather-api. Add the server to your MCP configuration using the command and args shown in the README. Optionally configure environment variables for API key, default location, units, language, and forecast days.
A demo API key is included in the package. For production use, you should obtain your own API key from [QWeather](https://dev.qweather.com/).
You can use city names (e.g., “New York”), coordinates as “longitude,latitude” (e.g., “119.98,30.24”), or QWeather location IDs (e.g., “101010100” for Beijing).
Set environment variables like `WEATHER_DEFAULT_UNITS`, `WEATHER_DEFAULT_LANGUAGE`, and `WEATHER_FORECAST_DAYS` before starting the server, or include them in the `env` section of your MCP configuration.
All tools return an MCP content array with a single text item containing a human-readable string of weather information.
The forecast tool supports 3, 7, 10, 15, or 30 days. The hourly forecast is limited to a maximum of 24 hours.

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