How to Use the United Airlines MCP in AutoGen

Q: How do I use United Airlines with AutoGen to check current departures?

You can run a multi-agent conversation. One agent queries getdepartures for today's date at SFO, while another verifies the destination status using getairlineinfo. They confirm the list of flights and their destinations.

Q: Can AutoGen help me compare United Airlines routes?

Yes. You can have agents debate route options: one uses getroute for direct comparison, while another checks if a codeshare exists using the output of that tool. The system provides a comprehensive comparative summary.

Q: If I'm building an autonomous system with United Airlines and AutoGen, how do I handle scheduling?

The agents can manage future planning. One agent uses getfutureflights for the desired date, and a second agent cross-references this against the known hub locations from getairportinfo. This ensures all elements of the trip are confirmed.

Q: What specific data type does this United Airlines MCP Server touch regarding flight status?

The server handles real-time operational statuses for flights, including current gate assignments, terminal information, and the dynamic state (scheduled/active/delayed) of a given flight number.

Automated consensus on United Airlines data with AutoGen's multi-agent framework.

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Create your Vinkius account to connect United 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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Setup United Airlines with AutoGen

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Perplexity

United Airlines MCP Server for complex decision making

Need to know if a flight is truly running? You can set up agents. Agent A checks the live status using `get_flight_status`. Agent B verifies this against the planned schedule via `get_flight_by_number`. The system debates and converges on the most accurate, verified answer.

Multi-agent conflict resolution

Imagine coordinating a trip. One agent checks if United flies between two points using `get_route`, while another confirms airport operational hours via `get_airport_info`. The agents challenge each other's assumptions until they agree on the viable travel path.

Historical performance negotiation

If a user asks about poor service, you can deploy two agents. Agent 1 calls `get_flight_history` to get raw delay data. Agent 2 analyzes that output against industry standards (user-provided context). They negotiate the final summary of poor performance.

Setup guide

Set up United Airlines MCP in AutoGen

Prerequisites

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

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

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

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes United 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="United Airlines_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="United Airlines_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 AutoGen

You can run a multi-agent conversation. One agent queries `get_departures` for today's date at SFO, while another verifies the destination status using `get_airline_info`. They confirm the list of flights and their destinations.

Yes. You can have agents debate route options: one uses `get_route` for direct comparison, while another checks if a codeshare exists using the output of that tool. The system provides a comprehensive comparative summary.

The agents can manage future planning. One agent uses `get_future_flights` for the desired date, and a second agent cross-references this against the known hub locations from `get_airport_info`. This ensures all elements of the trip are confirmed.

The MCP Server provides diverse operational inputs, ranging from specific airport details to comprehensive flight histories and static network routes. The multi-agent system processes these varied types into a unified conclusion.

The server handles **real-time operational statuses** for flights, including current gate assignments, terminal information, and the dynamic state (scheduled/active/delayed) of a given flight number.

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