Integrates with Google's Air Quality API to provide real-time data, forecasts, historical information, and heatmap visualizations.
This Model Context Protocol (MCP) server acts as a bridge to Google's Air Quality API, empowering AI assistants and other applications to access comprehensive air quality data. It offers current conditions, hourly forecasts, historical measurements, and dynamic heatmap visualizations for any location globally. Designed with LLM-friendly prompts, it allows for natural language queries, while also providing structured data access via MCP resources and tools.
主要功能
01LLM-Friendly Natural Language Location Queries
02Real-time Air Quality Data
03Air Quality Heatmap Visualizations
040 GitHub stars
05Hourly Air Quality Forecasts
06Historical Air Quality Measurements
使用案例
01Enable AI assistants to answer user questions about current or future air quality in specific locations.
02Integrate real-time and historical air quality data into environmental monitoring applications.
03Develop visualizations and dashboards to display air quality trends and hot spots using heatmap tiles.
