How to Use the American Airlines MCP in CrewAI

Deploy a CrewAI team to manage American Airlines flight logistics and airport navigation autonomously.

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Connect American Airlines MCP to CrewAI

Create your Vinkius account to connect American 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 American Airlines with CrewAI

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Coordinate American Airlines research agents

Assign a researcher agent to use `get_flight_schedule` while your analyst agent compares the results. Your CrewAI team handles the data synthesis without manual prompts. This setup allows agents to pass findings to each other. One agent finds the flights, and the other confirms which ones meet your specific criteria.

Monitor American Airlines flights with CrewAI

Set a monitor agent to poll `get_flight_status` for updates. If a delay occurs, the moderator agent takes over to notify you or adjust the plan. This creates a self-correcting loop. Your crew watches the status and acts immediately, saving you from constant manual checking.

Query American Airlines hubs in CrewAI

Use `get_airport_info` to provide your agents with terminal intelligence. They can now plan connections based on real amenities at specific hubs. Your agents become travel experts. They use the tool outputs to guide the entire logistics plan for your trip.

Setup guide

Set up American 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 American Airlines tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to your agent configuration. The agents then use the provided tools to fetch live schedules and statuses.

No, this server is for information retrieval only. It provides flight and status data to help your agents make informed decisions.

Yes, CrewAI supports shared memory. Once one agent retrieves info using the server, the rest of the crew can act on that data.

The server only processes public flight information. No personal travel records or private accounts are accessed or stored by your agents.

We use encrypted transport for all agent communication. The Vinkius sandbox ensures your flight queries remain isolated from other users.

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