EPA AirNow MCP Server for AutoGen 3 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add EPA AirNow as an MCP tool provider through the 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="epa_airnow_agent",
tools=tools,
system_message=(
"You help users with EPA AirNow. "
"3 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 EPA AirNow MCP Server
The EPA AirNow MCP Server connects your AI agent to the beating heart of environmental tracking. Gather deep insights into regional air safety, allowing proactive mitigation of respiratory risks and wildfire smoke exposure.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use EPA AirNow tools. Connect 3 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.
Core Capabilities
- Real-Time AQI Observations — Instantly check current pollutant levels (Ozone, PM2.5, PM10) to determine if the local air is safe to breathe today.
- Regional Forecasts — Look ahead to anticipate upcoming hazardous environmental conditions, enabling dynamic safety planning for events or communities.
- Flexible Targeting — Pinpoint any community instantly using standard postal codes or exact geographic coordinates to get a tight observation radius.
The EPA AirNow MCP Server exposes 3 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 EPA AirNow to AutoGen via MCP
Follow these steps to integrate the EPA AirNow 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 3 tools from EPA AirNow automatically
Why Use AutoGen with the EPA AirNow MCP Server
AutoGen provides unique advantages when paired with EPA AirNow through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use EPA AirNow tools to solve complex tasks
Role-based architecture lets you assign EPA AirNow 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 EPA AirNow tool calls
Code execution sandbox: AutoGen agents can write and run code that processes EPA AirNow tool responses in an isolated environment
EPA AirNow + AutoGen Use Cases
Practical scenarios where AutoGen combined with the EPA AirNow MCP Server delivers measurable value.
Collaborative analysis: one agent queries EPA AirNow while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from EPA AirNow, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using EPA AirNow data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process EPA AirNow responses in a sandboxed execution environment
EPA AirNow MCP Tools for AutoGen (3)
These 3 tools become available when you connect EPA AirNow to AutoGen via MCP:
get_current_aqi_by_latlon
Get real-time Air Quality Index observation using geographic coordinates
get_current_aqi_by_zip
Requires a 5-digit US ZIP Code. Get current real-time Air Quality Index observation using a US ZIP code
get_forecast_aqi_by_zip
Get future AQI forecasts for a given US ZIP code
Example Prompts for EPA AirNow in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with EPA AirNow immediately.
"What is the current air quality index in Beverly Hills?"
"Will the air quality be safe for a marathon in Seattle tomorrow?"
"Fetch the PM10 specific metrics for ZIP code 90210 safely via AirNow."
Troubleshooting EPA AirNow MCP Server with AutoGen
Common issues when connecting EPA AirNow to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"EPA AirNow + AutoGen FAQ
Common questions about integrating EPA AirNow 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 EPA AirNow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 EPA AirNow to AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
