What tools does Weather MCP Server provide?
Two tools: `get_alerts` for state‑based alerts and `get_forecast` for location‑based forecasts.
@dsomel21
基本信息
Example of creating MCP server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"weather": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
"run",
"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。
Weather MCP Server is a learning project exploring the Model Context Protocol (MCP). It integrates with the National Weather Service (NWS) API to provide weather alerts and forecasts. The server is designed for AI assistants that support MCP, such as Claude.
Install dependencies (pip install mcp httpx or uv pip install mcp httpx) with Python 3.9+. Configure the server in your AI assistant (e.g., Claude Desktop or Cursor) using the provided JSON or command. Then ask the assistant to retrieve alerts or forecasts.
get_alerts: Retrieves active weather alerts for a US state.get_forecast: Gets weather forecast for a latitude/longitude location.Two tools: `get_alerts` for state‑based alerts and `get_forecast` for location‑based forecasts.
It uses the free National Weather Service (NWS) API.
Python 3.9+, the `httpx` library, and the `mcp` library.
Add a JSON block to your Claude Desktop configuration with the `uv` command pointing to the `weather.py` file.
Go to Cursor Settings → MCP Servers → Add MCP Server. Set Type to “Command” and the command to `uv run /ABSOLUTE/PATH/TO/weather.py`.

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