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How to Use the IQAir MCP in CrewAI

Deploy autonomous air quality research teams with CrewAI and this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect IQAir MCP to CrewAI

Create your Vinkius account to connect IQAir to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Specialized research agents

Assign `get_city_air_quality` to a research agent in your CrewAI setup. While one agent gathers the data, another agent analyzes the trends. This role-based approach prevents bottlenecks. Your agents work in parallel to cover more cities efficiently.

Autonomous location discovery

Configure an agent to use `list_supported_cities` to build a database of targets for your other agents. CrewAI allows this agent to feed its findings to the rest of the crew. It turns a static list into an active research operation. Your agents stay updated without human intervention.

System health reporting

Set a moderator agent to run `check_api_status` periodically. If the connection drops, the agent alerts the team or pauses the operation. This prevents your crew from running into dead ends. It keeps the whole operation running smoothly.

Setup guide

Set up IQAir MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke IQAir tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="IQAir Analyst",
    goal="Access and analyze IQAir data via MCP.",
    backstory="Expert analyst with direct IQAir access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent IQAir transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IQAir MCP in CrewAI

Pass the server URL to the mcps parameter in your agent configuration. CrewAI handles the communication, making the tools available to your agents immediately.
Yes. Use the tool_filter option to give only the necessary tools to each agent. Don't give your research agent the status check tool if they don't need it.
It works with the shared memory of your crew. If one agent finds air quality data for a city, the other agents can use that information for their own tasks.
Use a sequential task flow to throttle the requests. By controlling the order and timing of tool usage, you stay within your API quota.
The server acts as a transient bridge. It does not persist your queries or the resulting air quality data. Everything is cleared once the task completes.

Start using the IQAir MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for IQAir. Just plug in your AI agents and start using Vinkius.

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