How to Use the Google Air Quality MCP in Cursor

Bring Google Air Quality into Cursor. Feed real-time environmental data directly into your code generation process.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Google Air Quality MCP to Cursor

Create your Vinkius account to connect Google Air Quality to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Google Air Quality with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject live air data into Cursor code

Feed current AQI metrics into your logic using `get_current_air_quality`. The agent uses the actual API response to write code that reacts to real-world pollution levels. No more hardcoded stubs or fake data. Your functions will handle live environmental variables the moment they are generated.

Analyze historical environmental data in Cursor

Call `get_air_quality_history` to test your features against a range of past air quality scenarios. It lets you simulate how your app behaves during varying levels of particulate matter. This ensures your UI and logic handle edge cases properly before you ever ship to production.

Run this MCP server within your editor

Define the server in your project-specific or global config file to keep your environment setup clean. It plugs into the agent mode so you can prompt for environmental data while you type. This MCP server gives your agent context that standard code analysis simply cannot reach on its own.

Setup guide

Set up Google Air Quality MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Google Air Quality MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Google Air Quality transactions." If the MCP tools are loaded correctly, Cursor will call the Google Air Quality tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Air Quality. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Google Air Quality now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Google Air Quality MCP in Cursor

By using the provided tools, the agent writes code that consumes real-time data from the API. This ensures your application logic is built on actual environmental conditions instead of assumptions.

Yes, once configured, the agent can monitor the environmental data and incorporate logic into your codebase that triggers alerts based on specific pollutant thresholds.

You control the agent's behavior through your prompts. Because the tools are explicitly invoked, you determine exactly when and how often the data is fetched.

The server accesses only the geographic coordinates you define in your code. It does not touch your source files, environment variables, or any other project data.

Your endpoint tokens are handled locally within your configured environment. The server operates in an ephemeral sandbox, ensuring your credentials are not exposed during the interaction.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript