What's the difference between European AQI and US AQI?

The **European AQI** ranges 0-100+ with thresholds set by the EEA. The **US AQI** ranges 0-500 with EPA thresholds. Both are provided simultaneously so your AI can serve users in any region with their local standard.

Open-Meteo Air Quality MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: Open-Meteo Air Quality
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

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

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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 Open-Meteo Air Quality "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Open-Meteo Air Quality?"
    )
    print(result.data)

asyncio.run(main())

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About Open-Meteo Air Quality MCP Server

Give your AI the power to assess air safety with real-time pollutant data at 11km resolution.

Pydantic AI validates every Open-Meteo Air Quality tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through the 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

Pollutant Concentrations — PM2.5, PM10, O₃, NO₂, SO₂, CO, dust, and ammonia in μg/m³
AQI Indexes — Both European (0-100+) and US (0-500) Air Quality Indexes with per-pollutant breakdowns
Pollen Forecast — Birch, grass, alder, ragweed, olive, and mugwort pollen counts for allergy planning
UV Index — Clear-sky and actual UV index for sun exposure safety

The Open-Meteo Air Quality MCP Server exposes 4 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 Open-Meteo Air Quality to Pydantic AI via MCP

Follow these steps to integrate the Open-Meteo Air Quality 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 4 tools from Open-Meteo Air Quality with type-safe schemas

Why Use Pydantic AI with the Open-Meteo Air Quality MCP Server

Pydantic AI provides unique advantages when paired with Open-Meteo Air Quality 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 Open-Meteo Air Quality integration code

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

Dependency injection system cleanly separates your Open-Meteo Air Quality connection logic from agent behavior for testable, maintainable code

Open-Meteo Air Quality + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Open-Meteo Air Quality MCP Server delivers measurable value.

Type-safe data pipelines: query Open-Meteo Air Quality with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Open-Meteo Air Quality tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Open-Meteo Air Quality and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Open-Meteo Air Quality responses and write comprehensive agent tests

Open-Meteo Air Quality MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect Open-Meteo Air Quality to Pydantic AI via MCP:

get_air_quality

5, PM10, ozone, nitrogen dioxide, sulphur dioxide, and carbon monoxide concentrations for any location. Get air quality pollutant concentrations

get_aqi_index

Get Air Quality Index (European and US standards)

get_pollen_forecast

Get pollen and allergen forecast

get_uv_index

Get UV index forecast

Example Prompts for Open-Meteo Air Quality in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Open-Meteo Air Quality immediately.

"Is the air quality in Beijing safe for outdoor exercise today?"

"What's the pollen forecast for Berlin this week?"

"What's the UV index in Sydney right now?"

Troubleshooting Open-Meteo Air Quality MCP Server with Pydantic AI

Common issues when connecting Open-Meteo Air Quality to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Open-Meteo Air Quality + Pydantic AI FAQ

Common questions about integrating Open-Meteo Air Quality 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 Open-Meteo Air Quality MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.