What tools does Weather MCP Server provide?
Two tools: `get_alerts` for state‑based alerts and `get_forecast` for location‑based forecasts.
@dsomel21
Basic information
Example of creating MCP server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"weather": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
"run",
"weather.py"
]
}
}
}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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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