Google Air Quality MCP Server for Mastra AI 2 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Google Air Quality through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"google-air-quality": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Google Air Quality Agent",
instructions:
"You help users interact with Google Air Quality " +
"using 2 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Google Air Quality?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Google Air Quality tool infrastructure. Connect 2 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Google Air Quality MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 2 tools from Google Air Quality via MCP
Why Use Mastra AI with the Google Air Quality MCP Server
Mastra AI provides unique advantages when paired with Google Air Quality through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Google Air Quality without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Google Air Quality tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Google Air Quality + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Google Air Quality MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Google Air Quality, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Google Air Quality as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Google Air Quality on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Google Air Quality tools alongside other MCP servers
Google Air Quality MCP Tools for Mastra AI (2)
These 2 tools become available when you connect Google Air Quality to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Google Air Quality to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGoogle Air Quality + Mastra AI FAQ
Common questions about integrating Google Air Quality MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Google Air Quality with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Air Quality to Mastra AI
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.