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How to Use the EPA AirNow MCP in OpenAI Agents SDK

Build production-grade environmental monitors with the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect EPA AirNow MCP to OpenAI Agents SDK

Create your Vinkius account to connect EPA AirNow to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Connect the EPA AirNow MCP Server

Your agent needs ground truth before making outdoor safety decisions. The `get_current_aqi_by_zip` tool pulls official Environmental Protection Agency metrics straight into your Python application. OpenAI Agents SDK handles the tool discovery automatically. You pass the server to your agent, set cacheToolsList=True for speed, and let the built-in guardrails validate the incoming particulate data before triggering any downstream alerts.

Predict hazardous air shifts

Wildfire smoke doesn't respect city limits. You use `get_forecast_aqi_by_zip` to grab upcoming air quality predictions based on federal sensor networks. This data feeds perfectly into a multi-agent setup. One specialized agent monitors the forecast, and if the index spikes, it hands off execution to a notification agent that cancels scheduled outdoor events.

Pinpoint micro-climates by coordinate

Sometimes a ZIP code covers too much ground. When you need exact spatial precision, the `get_current_aqi_by_latlon` tool queries the nearest physical sensor to a specific latitude and longitude. Every call your agent makes gets recorded in the OpenAI dashboard. You see exactly which coordinates were queried, what the EPA returned, and how your agent interpreted the risk level.

Setup guide

Set up EPA AirNow MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all EPA AirNow tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives EPA AirNow tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate EPA AirNow tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="EPA AirNow Agent",
            instructions="You have access to EPA AirNow tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install the openai-agents package. Create an MCPServerStreamableHttp instance with your Vinkius URL and pass it to the mcp_servers list in your agent constructor.
Yes. Your agent can read the index from get_current_aqi_by_zip and execute a separate tool to update your calendar. You rely on OpenAI's guardrails to ensure it only cancels when the AQI crosses a specific threshold.
The SDK doesn't natively throttle requests to external APIs. You should implement caching for the forecast data or schedule your agent to run at specific intervals.
No. The SDK auto-discovers them from the MCP Server. You just connect the endpoint and the agent knows how to use the coordinate and ZIP code tools immediately.
The server processes raw latitude, longitude, and ZIP code inputs. Vinkius isolates this execution in an ephemeral V8 sandbox, meaning your geographic queries disappear the moment the HTTP response completes.

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