How to Use the EPA AirNow MCP in AutoGen
Let your AutoGen agents debate and decide on actions using live EPA air quality data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EPA AirNow MCP to AutoGen
Create your Vinkius account to connect EPA AirNow to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Enable Multi-Agent Environmental Debate
AutoGen is about conversations between agents, and this server provides the perfect topic for a debate. One agent, a "SafetyOfficer," can use `get_forecast_aqi_by_zip` to flag a potential issue for an outdoor event. A second agent, a "FieldCoordinator," can then challenge that finding. It might argue the forecast is too broad and use `get_current_aqi_by_latlon` to get a precise, real-time reading for the exact venue. The agents then negotiate a final decision based on both pieces of evidence.
Build Consensus-Driven Alert Systems with AutoGen
Don't rely on a single data point. You can create a team of agents that must agree before an action is taken. For instance, an alert for poor air quality is only sent after one agent confirms the forecast with `get_forecast_aqi_by_zip` and another verifies the current situation with `get_current_aqi_by_zip`. This consensus model reduces false positives. The conversation log in AutoGen shows you exactly why the agents made their decision, providing a full audit trail of the data they used from the EPA tools. It's a more careful way to automate critical tasks.
Assign Specialist Roles to Your Agents
Create an agent that specializes in forecasts and only has permission to use the `get_forecast_aqi_by_zip` tool. Create another that's an expert on current conditions, with access to `get_current_aqi_by_latlon` and `get_current_aqi_by_zip`. With this MCP Server, you can easily define these roles. This lets you build more complex and reliable systems where each agent contributes its specific expertise to the group conversation, leading to a better, more nuanced outcome.
Set up EPA AirNow MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes EPA AirNow tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="EPA AirNow_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent EPA AirNow data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="EPA AirNow_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent EPA AirNow data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EPA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about EPA AirNow MCP in AutoGen
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