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Duffel Flights MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Duffel Flights through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "duffel-flights": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Duffel Flights, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Duffel Flights
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Duffel Flights MCP Server

Connect your AI agent to Duffel, the modern infrastructure for travel. This integration allows you to search for real-time flight offers, manage bookings (orders), and access a comprehensive directory of airlines, airports, and aircraft through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Duffel Flights through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Flight Search — Create offer requests to find the best flights based on origin, destination, dates, and cabin class
  • Booking Management — Create flight orders (instant or hold) and retrieve detailed reservation information
  • Payment Processing — Pay for flight orders that were previously held directly via the agent
  • Travel Directory — List and inspect aircraft models, airlines, and airports worldwide with their respective IATA codes
  • Order Oversight — List all flight bookings associated with your account to track your travel history

The Duffel Flights MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Duffel Flights to LangChain via MCP

Follow these steps to integrate the Duffel Flights MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from Duffel Flights via MCP

Why Use LangChain with the Duffel Flights MCP Server

LangChain provides unique advantages when paired with Duffel Flights through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Duffel Flights MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Duffel Flights queries for multi-turn workflows

Duffel Flights + LangChain Use Cases

Practical scenarios where LangChain combined with the Duffel Flights MCP Server delivers measurable value.

01

RAG with live data: combine Duffel Flights tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Duffel Flights, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Duffel Flights tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Duffel Flights tool call, measure latency, and optimize your agent's performance

Duffel Flights MCP Tools for LangChain (8)

These 8 tools become available when you connect Duffel Flights to LangChain via MCP:

01

create_flight_offer_request

Provide passengers as a JSON array string. Search for flight offers by specifying origin, destination, and passengers

02

create_flight_order

Provide full passenger details as a JSON string. Book a flight by selecting an offer and providing passenger details

03

list_aircraft

Retrieve a list of aircraft used by airlines

04

list_airlines

Retrieve a list of airlines

05

list_airports

Retrieve a list of airports

06

list_flight_offers

Retrieve all available flight offers for a specific offer request

07

list_flight_orders

Retrieve a list of all flight bookings (orders)

08

pay_for_flight_order

Process payment for a flight order that was previously put on hold

Example Prompts for Duffel Flights in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Duffel Flights immediately.

01

"Search for a flight from London (LHR) to New York (JFK) on 2024-12-01."

02

"List all airports in Brazil."

Troubleshooting Duffel Flights MCP Server with LangChain

Common issues when connecting Duffel Flights to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Duffel Flights + LangChain FAQ

Common questions about integrating Duffel Flights MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Duffel Flights to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.