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 Google ADK 4 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 4 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Open-Meteo Air Quality as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="open_meteo_air_quality_agent",
    instruction=(
        "You help users interact with Open-Meteo Air Quality "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Open-Meteo Air Quality as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Open-Meteo Air Quality MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Open-Meteo Air Quality via MCP

Why Use Google ADK with the Open-Meteo Air Quality MCP Server

Google ADK provides unique advantages when paired with Open-Meteo Air Quality through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Open-Meteo Air Quality

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Open-Meteo Air Quality tools with BigQuery, Vertex AI, and Cloud Functions

Open-Meteo Air Quality + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Open-Meteo Air Quality and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Open-Meteo Air Quality tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Open-Meteo Air Quality regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Open-Meteo Air Quality

Open-Meteo Air Quality MCP Tools for Google ADK (4)

These 4 tools become available when you connect Open-Meteo Air Quality to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Open-Meteo Air Quality + Google ADK FAQ

Common questions about integrating Open-Meteo Air Quality MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.