How do I get an OpenAQ API Key?

Visit [**OpenAQ Platform**](https://platform.openaq.org/), create a free account, and generate your API key from the dashboard. Free tier includes 1,000 requests/hour.

What air quality parameters can I monitor?

PM2.5, PM10, O3 (ozone), NO2, SO2, CO, BC (black carbon), and more. Use `get_parameters` to see the full list with units and classifications.

Can I get historical air quality data?

Yes! Use `get_measurements` with date_from and date_to parameters in ISO 8601 format to retrieve time-series data for any location and parameter.

OpenAQ MCP Server for AutoGen 9 tools — connect in under 2 minutes

Name: OpenAQ
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add OpenAQ as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="openaq_agent",
            tools=tools,
            system_message=(
                "You help users with OpenAQ. "
                "9 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenAQ tools. Connect 9 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the OpenAQ MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 9 tools from OpenAQ automatically

Why Use AutoGen with the OpenAQ MCP Server

AutoGen provides unique advantages when paired with OpenAQ through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use OpenAQ tools to solve complex tasks

Role-based architecture lets you assign OpenAQ tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive OpenAQ tool calls

Code execution sandbox: AutoGen agents can write and run code that processes OpenAQ tool responses in an isolated environment

OpenAQ + AutoGen Use Cases

Practical scenarios where AutoGen combined with the OpenAQ MCP Server delivers measurable value.

Collaborative analysis: one agent queries OpenAQ while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from OpenAQ, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using OpenAQ data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process OpenAQ responses in a sandboxed execution environment

OpenAQ MCP Tools for AutoGen (9)

These 9 tools become available when you connect OpenAQ to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting OpenAQ to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

OpenAQ + AutoGen FAQ

Common questions about integrating OpenAQ MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call OpenAQ tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.