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How to Use the American Airlines MCP in AutoGen

Give your AutoGen agents the ability to debate and track American Airlines flights via an MCP Server.

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AutoGen

Connect American Airlines MCP to AutoGen

Create your Vinkius account to connect American Airlines to AutoGen 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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Negotiate flight schedules

Travel planning requires balancing cost against convenience. You give one AutoGen agent the `get_flight_schedule` tool to pull departure times, while another agent argues for cheaper alternatives. The agents converse until they reach a consensus on the best route. They parse the aircraft types and service classes, debating the merits of a direct flight versus a layover based on your prompt.

Monitor delays via AutoGen MCP Server

Tracking a relative's arrival involves constant updates. A monitoring agent uses the `get_flight_status` tool to check for delays, passing the raw data to a communication agent. Delays force the agents to discuss how to adjust the pickup schedule. They handle the flight number and date parameters autonomously during their back-and-forth.

Analyze hub amenities

Long layovers demand good terminal facilities. An agent calls `get_airport_info` to map out lounges and restaurants before the passenger even books the ticket. Another agent cross-references those amenities with the passenger's preferences. They deliberate over which hub offers the best experience for a four-hour wait.

Setup guide

Set up American Airlines MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes American Airlines tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="American Airlines_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent American Airlines data")
print(result.messages[-1].content)

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Common questions about American Airlines MCP in AutoGen

Install `autogen-ext[mcp]`. You fetch the tools using `mcp_server_tools` with a `StreamableHttpServerParams` URL, then pass them straight to your `AssistantAgent` constructor.
You assign tools to specific agents. One handles schedule lookups while another focuses entirely on evaluating the results.
The `McpToolAdapter` handles schema conversion automatically. Your agents see native AutoGen functions instead of raw MCP endpoints.
You connect via Streamable HTTP transports to the Vinkius managed endpoint. This keeps the connection stable while agents deliberate.
Vinkius isolates every MCP server in a dedicated V8 sandbox with zero data retention. Airport codes and service classes are processed instantly and deleted.

Start using the American Airlines MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 3 tools

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

No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting. You're up and running in seconds.

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