How to Use the AirVisual MCP in CrewAI

Q: How do I filter tools for a specific CrewAI agent?

Use the toolfilter parameter in your configuration to limit which agents see which AirVisual functions.

Deploy a CrewAI team to monitor global pollution levels using high-fidelity data from the AirVisual MCP Server.

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Connect AirVisual MCP to CrewAI

Create your Vinkius account to connect AirVisual 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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Setup AirVisual with CrewAI

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Claude

Perplexity

AirVisual tools for CrewAI teams

Equip your researchers with `get_city_data` to gather environmental intel. CrewAI agents share this data across the team to inform their final analysis. One agent collects the stats, while another evaluates the impact. It creates a closed loop for air quality reporting.

Localized sensor coordination in CrewAI

Assign agents to monitor specific zones using `get_nearest_city_by_ip`. They can compare readings from multiple stations to build a regional picture. This functionality lets your team react to local changes in real time. It is perfect for autonomous monitoring tasks.

Station-specific analysis for CrewAI

Drill down into specific hardware outputs with `get_station_data`. Your agents can isolate the exact source of pollution data for deeper investigation. It provides the granularity needed for specialized research agents. You get precise, actionable figures for your reports.

Setup guide

Set up AirVisual MCP in CrewAI

Prerequisites

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

1

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

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

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AirVisual Analyst",
        goal="Access and analyze AirVisual data via MCP.",
        backstory="Expert analyst with direct AirVisual access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AirVisual. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AirVisual MCP in CrewAI

Yes. Agents operate with shared memory. Once one agent retrieves data, the rest of the crew can act on it.

It is. You can pass the URL directly into your agent definition to grant access to the entire toolset.

Use the tool_filter parameter in your configuration to limit which agents see which AirVisual functions.

The server supports stdio, SSE, and Streamable HTTP. It fits right into your existing agent infrastructure.

The connection is isolated and ephemeral. Access is limited to public air quality data, ensuring no proprietary or private info is exposed.

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