MCP Weather Server

Example Use Cases

• 1

  Fetch current active weather alerts for any US state (e.g., to warn users of severe weather conditions).

• 2

  Detailed point forecasts for a specific latitude and longitude (e.g., to provide localized hourly/daily weather summaries).

• 3

  A local, easy-to-deploy MCP endpoint to integrate National Weather Service data into conversational assistants like Claude for Desktop.

Description

This repository implements a simple Model Context Protocol (MCP) server that exposes two tools: get_alerts(state) for state-level weather alerts and get_forecast(latitude, longitude) for detailed forecasts. It uses the National Weather Service API as its data source and is intended as a quickstart example for integrating weather data into agent workflows. The project is lightweight, runs locally with Python and the MCP SDK, and includes instructions for integration with Claude for Desktop.