How do I find my IQAir API Key?

Log in to your [**IQAir dashboard**](https://www.iqair.com/dashboard/api), create a new key in the API section, and copy it. Copy and paste it below.

Does the agent use the server's IP for nearest city?

Yes. The `get_nearest_city_air_quality` tool automatically uses the requester's IP address to identify and audit the nearest monitored location.

Are weather details included with air quality?

Yes. Every city data retrieval includes current weather metadata such as temperature, humidity, and atmospheric pressure alongside the AQI.

IQAir MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: IQAir
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect IQAir through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to IQAir "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in IQAir?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every IQAir tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the IQAir MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from IQAir with type-safe schemas

Why Use Pydantic AI with the IQAir MCP Server

Pydantic AI provides unique advantages when paired with IQAir through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your IQAir integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your IQAir connection logic from agent behavior for testable, maintainable code

IQAir + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the IQAir MCP Server delivers measurable value.

Type-safe data pipelines: query IQAir with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple IQAir tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query IQAir and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock IQAir responses and write comprehensive agent tests

IQAir MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect IQAir to Pydantic AI via MCP:

check_api_status

Check if the IQAir API is operational

get_city_air_quality

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

get_nearest_city_air_quality

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

list_supported_cities

List all cities supported for a specific state and country

list_supported_countries

List all countries supported by IQAir

list_supported_states

List all states supported for a specific country

Example Prompts for IQAir in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with IQAir immediately.

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

"Check air quality for my nearest city."

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

Troubleshooting IQAir MCP Server with Pydantic AI

Common issues when connecting IQAir to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IQAir + Pydantic AI FAQ

Common questions about integrating IQAir MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your IQAir MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.