OpenAQ MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OpenAQ through the 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: {
"openaq": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "OpenAQ Agent",
instructions:
"You help users interact with OpenAQ " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with OpenAQ?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and OpenAQ tool infrastructure. Connect 9 tools through the 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
- 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 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 OpenAQ to Mastra AI via MCP
Follow these steps to integrate the OpenAQ 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 9 tools from OpenAQ via MCP
Why Use Mastra AI with the OpenAQ MCP Server
Mastra AI provides unique advantages when paired with OpenAQ through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add OpenAQ 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 OpenAQ 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
OpenAQ + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the OpenAQ MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query OpenAQ, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed OpenAQ as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query OpenAQ on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using OpenAQ tools alongside other MCP servers
OpenAQ MCP Tools for Mastra AI (9)
These 9 tools become available when you connect OpenAQ to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting OpenAQ to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpenAQ + Mastra AI FAQ
Common questions about integrating OpenAQ 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 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 Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.