How to Use the Google Air Quality MCP in Mastra AI

Q: How do I add Google Air Quality tools to a Mastra AI agent?

Instantiating MCPClient with the server URL allows you to list the tools. Spread mcpClient.listTools() directly into your Mastra AI agent configuration to give it access to real-time AQI data.

Q: How do I build a conditional workflow using Google Air Quality and Mastra AI?

You define a step that calls getcurrentairquality and branch your Mastra AI workflow based on the returned AQI value. If the index is poor, the agent routes to a warning step; otherwise, it proceeds normally.

Build automated, resilient environmental workflows with Mastra AI and Google Air Quality.

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Connect Google Air Quality MCP to Mastra AI

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

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Setup Google Air Quality with Mastra AI

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Automated Air Alerts with Mastra AI

The `get_current_air_quality` tool integrates with Mastra AI workflows to trigger automated notifications when Google AQI levels exceed safe thresholds. You build Mastra agents that monitor local coordinates and execute conditional branches if Google-reported pollution spikes. Mastra AI handles the Google Maps API retries with exponential backoff automatically. If the Google Air Quality API rate limit hits, your Mastra workflow pauses and retries without dropping the air quality payload.

Historical Data Syncing in Agentic Workflows

The `get_air_quality_history` tool lets your Mastra AI agent fetch past pollutant records to generate weekly environmental health reports. You chain this Google Air Quality tool with Mastra notification steps to email users when historical patterns show rising pollution levels. You register the Google Air Quality server by passing the URL to Mastra's `MCPClient` and spreading the tools into your agent configuration. The Mastra agent then decides when to look back at past Google data based on the user's request.

Resilient Multi-Step Workflows Using this MCP Server

This MCP Server allows your Mastra AI system to verify outdoor conditions using Google Air Quality data before triggering external tasks. The Mastra agent calls the Google air quality endpoint, parses the health advice, and routes the workflow accordingly. If a Google Air Quality tool call fails, Mastra's built-in error handling manages the state. You can also require manual human approval in the Mastra workflow before taking actions based on severe Google AQI alerts.

Setup guide

Set up Google Air Quality MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Google Air Quality tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "google-air-quality-mcp-client",
  servers: {
    "google-air-quality-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Google Air Quality Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Google Air Quality tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Google Air Quality transactions"
);
console.log(result.text);

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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.

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Common questions about Google Air Quality MCP in Mastra AI

Instantiating `MCPClient` with the server URL allows you to list the tools. Spread `mcpClient.listTools()` directly into your Mastra AI agent configuration to give it access to real-time AQI data.

Yes, Mastra AI uses its built-in workflow engine to handle retries. If the `get_current_air_quality` tool encounters a rate limit from Google, the framework manages exponential backoff behind the scenes.

You define a step that calls `get_current_air_quality` and branch your Mastra AI workflow based on the returned AQI value. If the index is poor, the agent routes to a warning step; otherwise, it proceeds normally.

Yes, you can configure Mastra to require manual approval before executing actions triggered by Google Air Quality data. This is useful for verifying critical health alerts before broadcasting them.

Your geographic coordinates are sent securely through Vinkius's zero-trust environment. Mastra AI transmits the location parameters directly to the Google API endpoint, leaving no persistent traces of your coordinates on our infrastructure.

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