Ag Weather
Provides AI agents with real-time and historical weather data by integrating with multiple weather APIs.
About
Ag Weather is a comprehensive Model Context Protocol (MCP) compliant server designed to equip AI agents with essential real-time and historical weather information. Built with Python and FastAPI, it seamlessly integrates with diverse weather APIs such as OpenMeteo, Tomorrow.io, Google Weather (via SerpApi), OpenWeatherMap, and AccuWeather, ensuring accurate and up-to-date meteorological data for various applications.
Key Features
- Provides comprehensive weather data including current conditions, forecasts, historical data, and alerts
- Model Context Protocol (MCP) compliance for AI agent integration
- Offers robust error handling and data validation
- 0 GitHub stars
- Integrates with multiple weather APIs (OpenMeteo, Tomorrow.io, Google Weather, OpenWeatherMap, AccuWeather)
- Configurable via environment variables for easy setup
Use Cases
- Providing meteorological data to AI agents for contextual understanding
- Enabling real-time decision-making in weather-sensitive applications
- Supporting historical weather data analysis for research and modeling
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