AirNow
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Integrates large language models with the AirNow API to provide comprehensive U.S. air quality data access.
Acerca de
The AirNow MCP Server acts as a bridge, enabling large language models to seamlessly interact with the official U.S. AirNow API. It offers a standardized Model Context Protocol implementation, allowing LLMs to query real-time, forecasted, and historical air quality data, including AQI values, observations by location, and contour maps for various pollutants, providing LLMs with crucial environmental insights. It supports current and forecasted AQI, detailed observations by location or region, air quality maps, and historical data retrieval.
Características Principales
- Support for current, forecasted, and historical AQI, observations, and contour maps
- Natural language interface for querying air quality data
- 0 GitHub stars
- Direct access to AirNow API resources through standardized MCP tools
- Easy integration via NPX/Docker
Casos de Uso
- Developing conversational AI agents capable of answering air quality queries using natural language
- Building LLM-powered applications that provide real-time air quality information
- Integrating historical air quality data for environmental analysis and research via LLMs