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
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-weather-server-yoyooyooo": {
"command": "npx",
"args": [
"mcp-weather-api"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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