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Weather MCP Server

Weather MCP Server

A Model Context Protocol (MCP) server that provides weather information services using the National Weather Service (NWS) API. This server implements a set of tools that can be used by AI models to fetch weather alerts and forecasts for locations in the United States.

Features

  • Weather Alerts: Get active weather alerts for any US state using a two-letter state code

  • Weather Forecast: Get detailed weather forecasts for any location in the US using latitude and longitude coordinates

  • MCP Integration: Implements the Model Context Protocol for seamless integration with AI models

  • TypeScript: Written in TypeScript for type safety and better developer experience

Related MCP server: MCP Weather Server

Installation

npm install npm run build

Usage

This server is designed to be used as a CLI tool and can be installed globally:

npm install -g . weather

The server runs on stdio and provides two main tools:

1. Get Weather Alerts

Retrieves active weather alerts for a specified US state.

Example parameters:

{ "state": "CA" // Two-letter state code }

2. Get Weather Forecast

Retrieves weather forecast for a specific location using coordinates.

Example parameters:

{ "latitude": 37.7749, "longitude": -122.4194 }

Technical Details

  • Built using the @modelcontextprotocol/sdk for MCP implementation

  • Uses the National Weather Service (NWS) API for weather data

  • Implements data validation using Zod

  • Written in TypeScript with Node.js

  • Uses ES modules (type: "module" in package.json)

Dependencies

  • @modelcontextprotocol/sdk: ^1.12.1

  • zod: ^3.25.41

  • typescript: ^5.8.3 (dev dependency)

  • @types/node: ^22.15.26 (dev dependency)

Development

  1. Clone the repository

  2. Install dependencies: npm install

  3. Build the project: npm run build

API Integration

The server uses the National Weather Service (NWS) API with the following endpoints:

  • Alerts: https://api.weather.gov/alerts

  • Points: https://api.weather.gov/points/{lat},{lon}

  • Forecast: Uses the forecast URL provided by the points endpoint

Error Handling

The server includes robust error handling for:

  • API request failures

  • Invalid coordinates

  • Missing or malformed data

  • Network issues

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security - not tested
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license - not found
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quality - not tested

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