How to Use the AirLabs MCP in CrewAI

Q: How do I filter tools for specific CrewAI roles?

Use the toolfilter option in your configuration. Only give the research agent access to getaircraft while the logistics agent gets getairportdelays.

Deploy a specialized aviation crew using CrewAI. Use AirLabs to research, monitor, and report on global flight operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AirLabs MCP to CrewAI

Create your Vinkius account to connect AirLabs 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.

GDPR Free for Subscribers

Setup AirLabs with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

CrewAI agents tracking global flights

Assign a research agent to monitor specific flight paths. It uses `get_flights` to track real-time changes across a geographic bounding box. It passes this info to your analysis agent. They work together to spot patterns in flight behavior.

Airport operations monitoring for CrewAI

Build a crew dedicated to field logistics. One agent checks `get_airport_delays` while another identifies alternate options with `get_nearby_airports`. You avoid bottlenecks by having agents verify airport status before making travel decisions.

Aviation market research with CrewAI

Task your crew with competitor intelligence. They use `get_airlines` to identify operators and `get_schedules` to understand their market presence. You receive a breakdown of operational trends. The crew aggregates the data into a final summary.

Setup guide

Set up AirLabs 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 AirLabs tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AirLabs 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="AirLabs Analyst",
        goal="Access and analyze AirLabs data via MCP.",
        backstory="Expert analyst with direct AirLabs access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AirLabs 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 AirLabs. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AirLabs now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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 AirLabs MCP in CrewAI

Pass the Vinkius URL directly into the mcps list within your Agent class. It connects instantly.

Yes, CrewAI uses shared memory. Once one agent retrieves aircraft specs, the rest of the crew can access that information.

Use the tool_filter option in your configuration. Only give the research agent access to `get_aircraft` while the logistics agent gets `get_airport_delays`.

It does. Your manager agent delegates the data gathering to specialized subordinates, which then report back.

Vinkius manages your authentication token and keeps your session ephemeral. Your flight and airport queries remain isolated from other users.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python