OpenAQ MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenAQ through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 OpenAQ, 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 OpenAQ MCP Server
Connect OpenAQ, the world's largest open air quality database, to any AI agent and monitor real-time pollution levels, track air quality trends, and access data from thousands of monitoring stations globally through natural language.
The Vercel AI SDK gives every OpenAQ tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through 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
- Live Monitoring — Get the latest PM2.5, O3, NO2, SO2, and CO readings from any location worldwide
- Historical Analysis — Query time-series measurement data with date range filters for trend analysis
- Location Discovery — Browse monitoring stations by country, city, or geographic area
- Sensor Tracking — View active sensor devices and their measurement parameters
- Parameter Reference — Look up all measurable air quality parameters with units and classifications
- Global Coverage — Access data from 100+ countries with thousands of active monitoring locations
The OpenAQ MCP Server exposes 9 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 OpenAQ to Vercel AI SDK via MCP
Follow these steps to integrate the OpenAQ 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 9 tools from OpenAQ and passes them to the LLM
Why Use Vercel AI SDK with the OpenAQ MCP Server
Vercel AI SDK provides unique advantages when paired with OpenAQ 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 OpenAQ integration everywhere
Built-in streaming UI primitives let you display OpenAQ 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
OpenAQ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenAQ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenAQ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenAQ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenAQ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenAQ through natural language queries
OpenAQ MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect OpenAQ to Vercel AI SDK via MCP:
get_countries
Includes location counts and city counts per country. List countries with monitoring stations
get_latest_measurements
Useful for getting current air quality status without querying full history. Get latest measurements per location
get_location_by_id
Get details for a specific location
get_locations
Filter by country, city, parameter, or geographic bounding box. Returns location details including coordinates, sensor counts, and whether the station is an official monitor. List air quality monitoring locations
get_measurements
Filter by location, parameter, date range, and value range. Returns readings with timestamps. Get historical air quality measurements
get_parameter_by_id
Get details for a specific parameter
get_parameters
5, PM10, O3 (ozone), NO2, SO2, CO, etc. Includes units and whether each is a core parameter. List measurable air quality parameters
get_sensor_by_id
Get details for a specific sensor
get_sensors
Filter by location, parameter type, or active status. List air quality sensors
Example Prompts for OpenAQ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OpenAQ immediately.
"What's the current PM2.5 level in São Paulo, Brazil?"
"Which countries have the most air quality monitoring stations?"
"Show me ozone (O3) measurements from the last 24 hours in Paris."
Troubleshooting OpenAQ MCP Server with Vercel AI SDK
Common issues when connecting OpenAQ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenAQ + Vercel AI SDK FAQ
Common questions about integrating OpenAQ 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 OpenAQ 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 OpenAQ to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.