What is the Universal Air Quality Index (UAQI)?

The UAQI is Google's proprietary index that normalizes air quality measurements globally. It ranges from 0 to 100, where 100 is excellent and 0 is poor.

Can I check historical air quality for the past week?

Yes. The `get_air_quality_history` tool allows you to retrieve up to 720 hours (30 days) of historical data for any coordinate.

Are there specific advice for outdoor sports?

Yes. The health recommendations provide specific guidance for athletes and individuals performing intense physical activities outdoors based on the pollutant levels.

Google Air Quality MCP Server for Cursor 2 tools — connect in under 2 minutes

Name: Google Air Quality
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 2 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Google Air Quality and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "google-air-quality": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Air Quality MCP Server

Equip your AI agent with hyper-local environmental intelligence through the Google Air Quality MCP server. This integration provides real-time access to accurate air quality indexes, detailed pollutant concentrations, and actionable health recommendations for specific coordinates. Powered by Google's massive environmental data layer, your agent can retrieve the Universal Air Quality Index (UAQI), identify dominant pollutants (PM2.5, NO2, etc.), and access up to 30 days of historical data. Whether you are building health-tracking tools, planning outdoor events, or researching urban pollution, your agent acts as a dedicated environmental consultant through natural conversation.

Cursor's Agent mode turns Google Air Quality into an in-editor superpower. Ask Cursor to generate code using live data from Google Air Quality and it fetches, processes, and writes. all in a single agentic loop. 2 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Real-time AQI Lookup — Get the current Universal Air Quality Index for any latitude/longitude.
Pollutant Breakdown — Identify dominant pollutants and their concentrations in specific areas.
Historical Auditing — Retrieve up to 720 hours of historical air quality data for trend analysis.
Health Advice — Access tailored recommendations for children, elderly, and sensitive groups.

The Google Air Quality MCP Server exposes 2 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Air Quality to Cursor via MCP

Follow these steps to integrate the Google Air Quality MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Google Air Quality

Open Agent mode in chat and ask: "Using Google Air Quality, help me...". 2 tools available

Why Use Cursor with the Google Air Quality MCP Server

Cursor AI Code Editor provides unique advantages when paired with Google Air Quality through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Google Air Quality + Cursor Use Cases

Practical scenarios where Cursor combined with the Google Air Quality MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Google Air Quality MCP Tools for Cursor (2)

These 2 tools become available when you connect Google Air Quality to Cursor via MCP:

get_air_quality_history

Get historical air quality data

get_current_air_quality

Get current air quality using Google Maps API

Example Prompts for Google Air Quality in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Google Air Quality immediately.

"What is the air quality in San Francisco right now?"

"Show me the air quality history for Tokyo for the last 24 hours."

"Are there any health warnings for Beijing today?"

Troubleshooting Google Air Quality MCP Server with Cursor

Common issues when connecting Google Air Quality to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Google Air Quality + Cursor FAQ

Common questions about integrating Google Air Quality MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.