How to Use the United Airlines MCP in CrewAI

Q: How do I check if United Airlines operates a route using CrewAI?

The agent uses getroute by providing two airport IATA codes. The output specifies whether the connection is direct or involves a codeshare, giving you instant network verification.

Q: What data does United Airlines' historical record-keeping provide using CrewAI?

getflighthistory provides detailed records of past flights. You give it a date and type ('departure' or 'arrival') to get actual timing, delays, and cancellation outcomes.

Q: Can I plan for future United Airlines travel using CrewAI?

Yes. The agent uses getfutureflights by specifying a future date (YYYY-MM-DD) and the airport's IATA code to retrieve planned flight numbers, times, and gates.

Q: If United Airlines has status issues, how do I find them using CrewAI?

You run getflightsbystatus, inputting the airport's IATA code, filtering by a specific status (e.g., 'delayed'), and selecting if it's an arrival or departure check.

Q: What information does the MCP Server provide about United Airlines airport locations?

The getairportinfo tool gives comprehensive location data for any required IATA code. This includes the full name, city, country, and even the local timezone.

Autonomous United Airlines operations with CrewAI's specialized agents.

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Connect United Airlines MCP to CrewAI

Create your Vinkius account to connect United Airlines 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 United Airlines with CrewAI

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Run comprehensive United Airlines journey analysis.

Need to know the full scope of service? A crew can use `get_airline_routes` to pull every origin-destination pair. An agent can then cross-reference this with `get_airport_info` to gather location details for all served airports. The multi-agent system lets specialized agents handle this massive data retrieval autonomously, compiling a complete picture of the United Airlines network.

Monitor real-time United Airlines operational status.

If a user asks about flight issues, one agent calls `get_flights_by_status` to find all delayed or cancelled flights at an airport. Another agent uses `get_arrivals` or `get_departures` to pull the scheduled lists for that day. The crew can then synthesize this data—for example, finding a flight status and cross-referencing it with both arrival and departure schedules.

Track United Airlines fleet and schedule details.

Want to know what planes are available? Use `get_aircraft_fleet` for the static list of types. For typical flight patterns, an agent runs `get_flight_by_number`, which tells you the regular route and scheduled times for a specific United Airlines flight number. This combination allows your autonomous system to understand both the equipment and the habitual pathways.

Setup guide

Set up United Airlines 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 United Airlines tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent United Airlines 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 United Airlines. 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 United Airlines MCP in CrewAI

The agent uses `get_route` by providing two airport IATA codes. The output specifies whether the connection is direct or involves a codeshare, giving you instant network verification.

`get_flight_history` provides detailed records of past flights. You give it a date and type ('departure' or 'arrival') to get actual timing, delays, and cancellation outcomes.

Yes. The agent uses `get_future_flights` by specifying a future date (YYYY-MM-DD) and the airport's IATA code to retrieve planned flight numbers, times, and gates.

You run `get_flights_by_status`, inputting the airport's IATA code, filtering by a specific status (e.g., 'delayed'), and selecting if it's an arrival or departure check.

The `get_airport_info` tool gives comprehensive location data for any required IATA code. This includes the full name, city, country, and even the local timezone.

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