# Google Air Quality

> Use this tool when you need to retrieve real-time or historical air quality data for any location worldwide, or to generate visualizations of air quality heatmaps. It solves problems related to environmental monitoring, health queries, and location-based analysis by providing comprehensive access to Google's Air Quality API. The tool accepts natural language location inputs and outputs current conditions, hourly forecasts, and historical measurements across various regional index types.

Canonical page: https://skillsregistry.net/skills/contexaai-google-air-quality  
JSON: https://api.skillsregistry.net/v1/skills/contexaai-google-air-quality

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/contexaai-google-air-quality)
- **Repository:** <https://github.com/synqedai/google-air-quality-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "contexaai-google-air-quality"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/contexaai-google-air-quality` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/contexaai-google-air-quality/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
