IQAir MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add IQAir as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="iqair_agent",
instruction=(
"You help users interact with IQAir "
"using 6 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports IQAir as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- 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 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 IQAir to Google ADK via MCP
Follow these steps to integrate the IQAir 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 6 tools from IQAir via MCP
Why Use Google ADK with the IQAir MCP Server
Google ADK provides unique advantages when paired with IQAir 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 IQAir
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 IQAir tools with BigQuery, Vertex AI, and Cloud Functions
IQAir + Google ADK Use Cases
Practical scenarios where Google ADK combined with the IQAir MCP Server delivers measurable value.
Enterprise data agents: ADK agents query IQAir and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine IQAir tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query IQAir regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including IQAir
IQAir MCP Tools for Google ADK (6)
These 6 tools become available when you connect IQAir to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting IQAir to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkIQAir + Google ADK FAQ
Common questions about integrating IQAir MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect IQAir with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IQAir to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
