How to Use the Duffel Flights MCP in AutoGen

Q: How do I set up Duffel Flights for an AutoGen agent team?

Use the mcpservertools helper to import the server. Pass the resulting tool list to your AssistantAgent to give them access to flight operations.

Build debating agent teams in AutoGen to verify and execute flight bookings using Duffel Flights.

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Setup Duffel Flights with AutoGen

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Negotiate flight choices between agents

Assign one agent to fetch data via `list_flight_offers` and another to verify pricing. They debate the best option before triggering `create_flight_offer_request`. This ensures your agent team makes a consensus-based decision. It prevents impulsive bookings that don't meet your criteria.

Controlled order and payment execution

Have a security-focused agent check the booking details before calling `create_flight_order`. The team only proceeds to `pay_for_flight_order` once all agents agree on the selection. This creates a human-in-the-loop workflow. You maintain oversight of every financial decision made by your agents.

Dynamic fleet and airport lookup

Let your agents query `list_aircraft` and `list_airports` to gather background info. This data informs their debate during the flight selection process. Your agents become experts in the route. They use the API tools to ground their discussion in the reality of the current airline network.

Setup guide

Set up Duffel Flights 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 Duffel Flights 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="Duffel Flights_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Duffel Flights 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="Duffel Flights_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Duffel Flights 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 Duffel. 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 Duffel Flights MCP in AutoGen

Use the `mcp_server_tools` helper to import the server. Pass the resulting tool list to your AssistantAgent to give them access to flight operations.

Yes, the server is designed for concurrent access. You can have different agents querying flight offers and orders at the same time.

Implement a shared state or a supervisor agent. This agent coordinates the booking flow and checks `list_flight_orders` before starting a new request.

Yes, filter the tool list before passing it to the agent. You can restrict certain agents to read-only tools like `list_airports`.

The server processes passenger details in memory during the booking call. All PII access is confined to the specific tool execution and is not logged by the server.

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