Google Air Quality

About

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.

Key Features

• LLM-Friendly Natural Language Location Queries
• Real-time Air Quality Data
• Air Quality Heatmap Visualizations
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• Hourly Air Quality Forecasts
• Historical Air Quality Measurements

Use Cases

• Enable AI assistants to answer user questions about current or future air quality in specific locations.
• Integrate real-time and historical air quality data into environmental monitoring applications.
• Develop visualizations and dashboards to display air quality trends and hot spots using heatmap tiles.