IQAir MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add IQAir as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="iqair_agent",
tools=tools,
system_message=(
"You help users with IQAir. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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 IQAir MCP Server
Empower your AI agent to orchestrate your entire environmental research and air quality auditing workflow with IQAir, the world's most popular platform for air quality data. By connecting the AirVisual API to your agent, you transform complex pollution searches into a natural conversation. Your agent can instantly retrieve real-time air quality indices (AQI), audit weather conditions, and identify the most polluted areas without you ever touching a technical portal. Whether you are conducting climate research or monitoring local health constraints, your agent acts as a real-time environmental assistant, ensuring your data is always precise and localized.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use IQAir tools. Connect 6 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
- Pollution Auditing — Retrieve real-time Air Quality Index (AQI) data for the nearest city or specific global locations instantly.
- Weather Oversight — Audit current weather conditions, including temperature, humidity, and atmospheric pressure, to maintain a clear view of environmental scale.
- Geographic Discovery — List all supported countries, states, and cities in the IQAir catalog to understand the geographic reach of air quality monitoring.
- Local Intelligence — Query specific city data to understand local pollution markers and main pollutants (e.g., p2, p1).
- Operational Monitoring — Check API status to ensure your environmental research workflow is always operational.
The IQAir MCP Server exposes 6 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 IQAir to AutoGen via MCP
Follow these steps to integrate the IQAir 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 6 tools from IQAir automatically
Why Use AutoGen with the IQAir MCP Server
AutoGen provides unique advantages when paired with IQAir through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use IQAir tools to solve complex tasks
Role-based architecture lets you assign IQAir 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 IQAir tool calls
Code execution sandbox: AutoGen agents can write and run code that processes IQAir tool responses in an isolated environment
IQAir + AutoGen Use Cases
Practical scenarios where AutoGen combined with the IQAir MCP Server delivers measurable value.
Collaborative analysis: one agent queries IQAir while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from IQAir, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using IQAir data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process IQAir responses in a sandboxed execution environment
IQAir MCP Tools for AutoGen (6)
These 6 tools become available when you connect IQAir to AutoGen via MCP:
check_api_status
Check if the IQAir API is operational
get_city_air_quality
Get real-time air quality and weather for a specific city
get_nearest_city_air_quality
Get real-time air quality and weather for the city nearest to the requester IP
list_supported_cities
List all cities supported for a specific state and country
list_supported_countries
List all countries supported by IQAir
list_supported_states
List all states supported for a specific country
Example Prompts for IQAir in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with IQAir immediately.
"What is the air quality in 'Los Angeles, California, USA' using IQAir?"
"Check air quality for my nearest city."
"List all cities supported in the state of 'Sao Paulo', Brazil."
Troubleshooting IQAir MCP Server with AutoGen
Common issues when connecting IQAir to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"IQAir + AutoGen FAQ
Common questions about integrating IQAir MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect IQAir with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 IQAir to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.