What data source does the service use?
It uses the National Weather Service (NWS) API to fetch alerts and forecasts.
@asifdotpy
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-asifdotpy": {
"command": "python",
"args": [
"weather.py"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It fetches weather alerts and forecasts from the National Weather Service (NWS) API, exposing them as tools via the FastMCP framework. It is intended for developers who need to integrate real-time US weather data into their applications.
Install dependencies (e.g., pip install httpx), then run python weather.py to start the FastMCP server. Use the provided tools get_alerts(state) for active alerts and get_forecast(latitude, longitude) for a 5-period forecast.
It uses the National Weather Service (NWS) API to fetch alerts and forecasts.
Run `python weather.py` directly. The service starts a FastMCP server that listens for requests (e.g., via stdio as configured in `smithery.yaml`).
Python 3.x and the `httpx` library. Other dependencies are listed in `pyproject.toml` and can be installed with `pip install .`.
Set the `ENV` environment variable to `production` for JSON logs, or leave it unset for human‑readable output. Use `LOG_LEVEL`, `APP_VERSION`, and `HOSTNAME` to control verbosity, version, and hostname in logs.
Two tools: `get_alerts(state)` returns active alerts for a US state, and `get_forecast(latitude, longitude)` returns the next five forecast periods for a location.
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