Turn Your AI Models Into Weather Experts in 30 Seconds

Stop hardcoding weather responses or scraping unreliable data. This MCP server gives your AI models direct access to AccuWeather's professional-grade forecasts with zero API complexity.

The Problem You're Actually Solving

Your AI applications need real-time weather data, but you don't want to:

• Build and maintain another weather integration
• Handle API rate limits, error responses, and data normalization
• Write boilerplate for location resolution and forecast parsing
• Deal with inconsistent weather data formats

This MCP server handles all of that. Your AI gets clean, structured weather data through simple tool calls.

What You Get

Instant Integration: One npx command gets you running with Claude Desktop

npx -y @timlukahorstmann/mcp-weather

Two Focused Tools:

• weather-get_hourly: Next 12 hours with temperature, conditions, and precipitation
• weather-get_daily: Up to 15-day forecasts with detailed daily breakdowns

Smart Defaults: Metric units, 5-day forecasts, and error handling built-in. Override when you need to.

Real-World Use Cases

Travel Planning Apps: "Should I pack a jacket for my trip to Portland next week?" Your AI pulls 7-day forecasts and gives specific packing advice.

Event Management: Building tools that help plan outdoor events? Your AI can assess weather risks and suggest backup dates automatically.

Agricultural Tools: Create farming assistants that check hourly forecasts for irrigation timing or harvest decisions.

Smart Home Integration: Connect with home automation to adjust heating/cooling based on upcoming weather patterns.

Integration That Just Works

Drop this into your Claude Desktop config and you're done:

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": ["-y", "@timlukahorstmann/mcp-weather"],
      "env": {
        "ACCUWEATHER_API_KEY": "your_key_here"
      }
    }
  }
}

Your AI can now answer questions like:

• "What's the hourly breakdown for Seattle tomorrow?"
• "Will it rain in London this weekend?"
• "Compare next week's weather in New York vs. San Francisco"

Why This Beats DIY Solutions

AccuWeather Quality: Professional-grade forecasts, not consumer weather widgets Free Tier Friendly: Uses AccuWeather's free developer tier (50 calls/min) Zero Maintenance: TypeScript-built with Zod validation and proper error handling Location Flexible: Works with city names - no coordinate lookup required

Getting Started

1. Get your free AccuWeather API key: https://developer.accuweather.com/
2. Set your environment variable:
   export ACCUWEATHER_API_KEY=your_key_here
   
3. Run it:
   npx -y @timlukahorstmann/mcp-weather
   

That's it. Your AI models now have weather superpowers.

The server handles location resolution, data normalization, and API quirks. You focus on building features that matter to your users.

Repository: TimLukaHorstmann/mcp-weather License: MIT NPM: @timlukahorstmann/mcp-weather