Access Comprehensive Weather Data

Weather MCP Server is a FastAPI-based Model Context Protocol server that gives AI assistants access to weather data via the WeatherAPI service. It covers current conditions, forecasts up to 14 days out, historical weather, active weather alerts, air quality, astronomy data like sunrise/sunset and moon phases, location search, timezone information, and sports event data.

Use this when you want an assistant to answer weather-related questions with real data - checking today's conditions, planning around a multi-day forecast, looking up air quality, or finding sunrise/sunset times for a location. It's a straightforward weather-data lookup layer. It is not useful without a WeatherAPI account and API key, and it depends entirely on WeatherAPI's coverage and accuracy for the data it returns.

• Current weather conditions for a location.
• Weather forecasts spanning 1-14 days.
• Historical weather data lookups.
• Active weather alerts for a location.
• Air quality information.
• Astronomy data: sunrise, sunset, and moon phases.
• Location search and timezone information.
• Sports events data.

Install via Smithery for Claude Desktop:

npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude

Or install manually:

git clone https://github.com/yourusername/Weather_mcp_server.git
cd Weather_mcp_server
uv venv
uv pip install -e .

Create a .env file with your WeatherAPI key: WEATHER_API_KEY=your_api_key_here. Then run the server with python main.py; it starts on http://localhost:8000 by default. Requires Python 3.13+ and the uv package manager.

Anyone building a weather-aware assistant or app who wants current conditions, forecasts, alerts, and related data (air quality, astronomy, timezone) available directly to an AI assistant without a separate API integration.