How to Use the IQAir MCP in OpenAI Agents SDK

Q: How do I verify if the weather and pollution endpoint is online?

Use the checkapistatus tool. Your agent can run this quick diagnostic check before executing any complex, multi-city data sweeps.

Get real-time air quality and weather data directly inside your OpenAI Agents SDK workflows with zero manual setup.

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Connect IQAir MCP to OpenAI Agents SDK

Create your Vinkius account to connect IQAir 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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Setup IQAir with OpenAI Agents SDK

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Fetch instant local pollution metrics

The `get_nearest_city_air_quality` tool fetches real-time pollution metrics and weather conditions based on the user's IP. Your agent reads the raw data directly, assessing current PM2.5 levels and temperature without relying on manual location inputs. This direct look-up works instantly inside your agent loops. Since the OpenAI Agents SDK handles tool schema parsing automatically, your agents execute this check during live chats without any custom JSON parser logic.

Validate locations using the IQAir MCP Server

The `list_supported_countries` tool queries the IQAir database to verify if a target region has active air monitoring stations. Your agent uses this check along with `list_supported_states` and `list_supported_cities` to build a reliable path before requesting specific sensor data. This pre-flight validation prevents your pipeline from wasting API calls on unsupported regions. By passing these tools into the OpenAI Agents SDK, your system filters out invalid regions at the conversation level before triggering heavier backend requests.

Direct target monitoring and health checks

The `get_city_air_quality` tool retrieves specific air pollution indices and weather stats for any supported city. It requires exact location parameters, which your agent verifies beforehand by running `check_api_status` to confirm the external API is online. This combination ensures your production workflows remain stable. The OpenAI Agents SDK runs these checks within its secure MCP Server context manager, giving you full tracing on every payload on your dashboard.

Setup guide

Set up IQAir 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

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

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 IQAir tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IQAir tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate IQAir 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="IQAir Agent",
            instructions="You have access to IQAir tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about IQAir MCP in OpenAI Agents SDK

Install the SDK using pip, then initialize the HTTP server parameters with your endpoint. Pass the server instance directly into your Agent constructor to let your agent auto-discover the tools.

Yes. This MCP Server lets you set the cache flag to true in your server configuration to avoid fetching tool definitions on every single execution loop.

The SDK lets you configure guardrails and middle-tier handlers to control execution frequency. If your agent calls the pollution tools too quickly, the SDK intercepts the call before hitting external API thresholds.

Use the `check_api_status` tool. Your agent can run this quick diagnostic check before executing any complex, multi-city data sweeps.

This server processes IP addresses, latitude/longitude coordinates, and local air quality indices. Vinkius runs this MCP Server inside a zero-trust, ephemeral V8 isolate sandbox, ensuring that your sensitive location parameters are never written to persistent disks or shared with third parties.

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