MCP Weather Server

What is MCP Weather Server?

A lightweight TypeScript and Node.js server built using the Model Context Protocol (MCP) that provides real-time weather alerts and forecast data by integrating with the National Weather Service API. It is designed for use with AI tools such as Claude Desktop and Cursor.

How to use MCP Weather Server?

Configure and run the server as an MCP tool. It exposes two functions, get-alerts (for a US state code) and get-forecast (for geographic coordinates), which can be invoked by MCP-compatible clients like Claude Desktop and Cursor.

Key features of MCP Weather Server?

• get-alerts: Returns current weather alerts for a US state code.
• get-forecast: Returns detailed weather forecast for given coordinates.
• Built with TypeScript, Node.js, and the MCP SDK.
• Uses Zod for input schema validation.
• Integrates the National Weather Service API.
• Designed for use with Claude Desktop and Cursor.

Use cases of MCP Weather Server?

• Querying active weather alerts for a specific US state.
• Obtaining a detailed forecast based on latitude and longitude.
• Enabling AI assistants to answer weather-related questions using live NWS data.
• Demonstrating how AI tools can consume external APIs via MCP tool invocation.

FAQ from MCP Weather Server

What data source does MCP Weather Server use?

It uses the National Weather Service API (weather.gov) for all weather data.

Which AI tools can integrate with MCP Weather Server?

The server is designed to work with Claude Desktop and Cursor via the Model Context Protocol.

What tools are provided by MCP Weather Server?

Two tools: get-alerts (requires a US state code) and get-forecast (requires latitude and longitude).

What technology stack is used?

TypeScript, Node.js, MCP