How to Use the Duffel Flights MCP in LangChain

Chain your flight booking logic directly within LangChain agents to automate searches and orders through the Duffel Flights API.

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Connect Duffel Flights MCP to LangChain

Create your Vinkius account to connect Duffel Flights to LangChain 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 Duffel Flights with LangChain

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Claude

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Chain flight search and booking logic

Connect `create_flight_offer_request` to your LangChain agents to initiate searches automatically. You control the flow by passing the offer request ID directly into `list_flight_offers` to get results without manual intervention. This architecture keeps your logic modular. You define the sequence where the agent evaluates pricing and availability before moving to the next link in your chain.

Direct order execution for your agents

Use `create_flight_order` to turn your agent's selection into a confirmed booking. Your LangChain agent handles the passenger data schema, ensuring the order is placed correctly every time. Finalize bookings by triggering `pay_for_flight_order` once the order is ready. This keeps the transaction flow contained within your agent's execution path.

Query live aviation metadata

Access real-time fleet and airline data using `list_aircraft` and `list_airlines`. Your agents use this context to filter options based on specific carrier preferences or aircraft types. Integrating `list_airports` allows your agent to resolve location codes dynamically. It makes your LangChain pipelines smarter about where and how travelers fly.

Setup guide

Set up Duffel Flights MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Duffel Flights tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "duffel-flights-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Duffel Flights transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Duffel Flights MCP in LangChain

Register the server tools with your agent. Then, prompt the agent to call `list_airports` for codes and follow up with `create_flight_offer_request` to pull live availability.

Yes, you can chain the entire sequence. Your agent executes the offer request, lists the results, and proceeds to order creation and payment sequentially.

It acts as a stateless provider. You must maintain the booking context within your LangChain agent's memory or session storage to keep track of offer IDs.

You need to implement error handling in your agent logic. Check the output of `create_flight_order` for validation errors before attempting to call the payment tool.

The server only processes PII like names and passport details when you pass them to the booking tools. All data transmission stays within your authenticated session.

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