Google Air Quality

Access real-time air quality data, forecasts, and historical information from Google's Air Quality API with support for heatmap visualizations and natural language location queries

This MCP server implementation provides AI assistants with comprehensive access to Google's Air Quality API, enabling real-time air quality queries for any location worldwide. Developed by ContexaAI in Go, it offers four primary tools for retrieving current conditions, hourly forecasts, historical measurements, and heatmap tile visualizations across eight regional index types. The server includes LLM-friendly prompts that automatically resolve natural language location names to coordinates, making it easy for AI assistants to answer air quality questions without manual geocoding. It's particularly valuable for environmental monitoring, health-related queries, and location-based air quality analysis.