EPA AirNow MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EPA AirNow through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="EPA AirNow Assistant",
instructions=(
"You help users interact with EPA AirNow. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from EPA AirNow"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 3 tools from EPA AirNow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries EPA AirNow, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the EPA AirNow MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from EPA AirNow
Why Use OpenAI Agents SDK with the EPA AirNow MCP Server
OpenAI Agents SDK provides unique advantages when paired with EPA AirNow through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
EPA AirNow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the EPA AirNow MCP Server delivers measurable value.
Automated workflows: build agents that query EPA AirNow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries EPA AirNow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through EPA AirNow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query EPA AirNow to resolve tickets, look up records, and update statuses without human intervention
EPA AirNow MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect EPA AirNow to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting EPA AirNow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
EPA AirNow + OpenAI Agents SDK FAQ
Common questions about integrating EPA AirNow MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect EPA AirNow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 EPA AirNow to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
