What's the difference between European AQI and US AQI?

The **European AQI** ranges 0-100+ with thresholds set by the EEA. The **US AQI** ranges 0-500 with EPA thresholds. Both are provided simultaneously so your AI can serve users in any region with their local standard.

Open-Meteo Air Quality MCP Server for AutoGen 4 tools — connect in under 2 minutes

Name: Open-Meteo Air Quality
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 4 Tools Framework

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

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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="open_meteo_air_quality_agent",
            tools=tools,
            system_message=(
                "You help users with Open-Meteo Air Quality. "
                "4 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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About Open-Meteo Air Quality MCP Server

Give your AI the power to assess air safety with real-time pollutant data at 11km resolution.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo Air Quality tools. Connect 4 tools through the 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

Pollutant Concentrations — PM2.5, PM10, O₃, NO₂, SO₂, CO, dust, and ammonia in μg/m³
AQI Indexes — Both European (0-100+) and US (0-500) Air Quality Indexes with per-pollutant breakdowns
Pollen Forecast — Birch, grass, alder, ragweed, olive, and mugwort pollen counts for allergy planning
UV Index — Clear-sky and actual UV index for sun exposure safety

The Open-Meteo Air Quality MCP Server exposes 4 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 Open-Meteo Air Quality to AutoGen via MCP

Follow these steps to integrate the Open-Meteo Air Quality 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 4 tools from Open-Meteo Air Quality automatically

Why Use AutoGen with the Open-Meteo Air Quality MCP Server

AutoGen provides unique advantages when paired with Open-Meteo Air Quality through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open-Meteo Air Quality tools to solve complex tasks

Role-based architecture lets you assign Open-Meteo Air Quality 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 Open-Meteo Air Quality tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Open-Meteo Air Quality tool responses in an isolated environment

Open-Meteo Air Quality + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Open-Meteo Air Quality MCP Server delivers measurable value.

Collaborative analysis: one agent queries Open-Meteo Air Quality while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Open-Meteo Air Quality, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Open-Meteo Air Quality data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Open-Meteo Air Quality responses in a sandboxed execution environment

Open-Meteo Air Quality MCP Tools for AutoGen (4)

These 4 tools become available when you connect Open-Meteo Air Quality to AutoGen via MCP:

get_air_quality

5, PM10, ozone, nitrogen dioxide, sulphur dioxide, and carbon monoxide concentrations for any location. Get air quality pollutant concentrations

get_aqi_index

Get Air Quality Index (European and US standards)

get_pollen_forecast

Get pollen and allergen forecast

get_uv_index

Get UV index forecast

Example Prompts for Open-Meteo Air Quality in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Open-Meteo Air Quality immediately.

"Is the air quality in Beijing safe for outdoor exercise today?"

"What's the pollen forecast for Berlin this week?"

"What's the UV index in Sydney right now?"

Troubleshooting Open-Meteo Air Quality MCP Server with AutoGen

Common issues when connecting Open-Meteo Air Quality to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

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

Open-Meteo Air Quality + AutoGen FAQ

Common questions about integrating Open-Meteo Air Quality 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 Open-Meteo Air Quality 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.