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 CrewAI 6 tools — connect in under 2 minutes

Name: IQAir
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to IQAir through Vinkius, pass the Edge URL in the `mcps` parameter and every IQAir tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="IQAir Specialist",
    goal="Help users interact with IQAir effectively",
    backstory=(
        "You are an expert at leveraging IQAir tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in IQAir "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, IQAir becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IQAir tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the IQAir MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from IQAir

Why Use CrewAI with the IQAir MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with IQAir through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

IQAir + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries IQAir for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries IQAir, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain IQAir tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries IQAir against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

IQAir MCP Tools for CrewAI (6)

These 6 tools become available when you connect IQAir to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

IQAir + CrewAI FAQ

Common questions about integrating IQAir MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.