2,500+ MCP servers ready to use
Vinkius

IQAir MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IQAir through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="IQAir Assistant",
            instructions=(
                "You help users interact with IQAir. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from IQAir"
        )
        print(result.final_output)

asyncio.run(main())
IQAir
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 IQAir MCP Server

Empower your AI agent to orchestrate your entire environmental research and air quality auditing workflow with IQAir, the world's most popular platform for air quality data. By connecting the AirVisual API to your agent, you transform complex pollution searches into a natural conversation. Your agent can instantly retrieve real-time air quality indices (AQI), audit weather conditions, and identify the most polluted areas without you ever touching a technical portal. Whether you are conducting climate research or monitoring local health constraints, your agent acts as a real-time environmental assistant, ensuring your data is always precise and localized.

The OpenAI Agents SDK auto-discovers all 6 tools from IQAir through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IQAir, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Pollution Auditing — Retrieve real-time Air Quality Index (AQI) data for the nearest city or specific global locations instantly.
  • Weather Oversight — Audit current weather conditions, including temperature, humidity, and atmospheric pressure, to maintain a clear view of environmental scale.
  • Geographic Discovery — List all supported countries, states, and cities in the IQAir catalog to understand the geographic reach of air quality monitoring.
  • Local Intelligence — Query specific city data to understand local pollution markers and main pollutants (e.g., p2, p1).
  • Operational Monitoring — Check API status to ensure your environmental research workflow is always operational.

The IQAir MCP Server exposes 6 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 IQAir to OpenAI Agents SDK via MCP

Follow these steps to integrate the IQAir MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 6 tools from IQAir

Why Use OpenAI Agents SDK with the IQAir MCP Server

OpenAI Agents SDK provides unique advantages when paired with IQAir through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

IQAir + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the IQAir MCP Server delivers measurable value.

01

Automated workflows: build agents that query IQAir, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries IQAir, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through IQAir tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query IQAir to resolve tickets, look up records, and update statuses without human intervention

IQAir MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect IQAir to OpenAI Agents SDK via MCP:

01

check_api_status

Check if the IQAir API is operational

02

get_city_air_quality

Get real-time air quality and weather for a specific city

03

get_nearest_city_air_quality

Get real-time air quality and weather for the city nearest to the requester IP

04

list_supported_cities

List all cities supported for a specific state and country

05

list_supported_countries

List all countries supported by IQAir

06

list_supported_states

List all states supported for a specific country

Example Prompts for IQAir in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IQAir immediately.

01

"What is the air quality in 'Los Angeles, California, USA' using IQAir?"

02

"Check air quality for my nearest city."

03

"List all cities supported in the state of 'Sao Paulo', Brazil."

Troubleshooting IQAir MCP Server with OpenAI Agents SDK

Common issues when connecting IQAir to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

IQAir + OpenAI Agents SDK FAQ

Common questions about integrating IQAir MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect IQAir to OpenAI Agents SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.