Google Air Quality MCP Server for Vercel AI SDK 2 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Google Air Quality through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Google Air Quality, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Google Air Quality tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 2 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Google Air Quality MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 2 tools from Google Air Quality and passes them to the LLM
Why Use Vercel AI SDK with the Google Air Quality MCP Server
Vercel AI SDK provides unique advantages when paired with Google Air Quality through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Google Air Quality integration everywhere
Built-in streaming UI primitives let you display Google Air Quality tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Google Air Quality + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Google Air Quality MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Google Air Quality in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Google Air Quality tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Google Air Quality capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Google Air Quality through natural language queries
Google Air Quality MCP Tools for Vercel AI SDK (2)
These 2 tools become available when you connect Google Air Quality to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Google Air Quality to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoogle Air Quality + Vercel AI SDK FAQ
Common questions about integrating Google Air Quality MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.