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Amadeus MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Amadeus 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({
        "amadeus": {
            "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 Amadeus, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Amadeus
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 Amadeus MCP Server

Connect the Amadeus global travel platform to any AI agent — the backbone of the travel industry.

LangChain's ecosystem of 500+ components combines seamlessly with Amadeus through native MCP adapters. Connect 10 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

  • Flights — Search, compare prices, airlines, durations, stops, and cabin classes
  • Hotels — Find hotels by city or GPS coordinates with rates and availability
  • Transfers — Airport pickup and point-to-point transfer quotes
  • Activities — Tours, experiences, and things to do at any destination
  • Inspirations — Discover cheapest destinations from any airport
  • Flight Status — Real-time schedules, terminals, and gates

The Amadeus MCP Server exposes 10 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 Amadeus to LangChain via MCP

Follow these steps to integrate the Amadeus 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 10 tools from Amadeus via MCP

Why Use LangChain with the Amadeus MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Amadeus 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 Amadeus queries for multi-turn workflows

Amadeus + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Amadeus MCP Tools for LangChain (10)

These 10 tools become available when you connect Amadeus to LangChain via MCP:

01

get_airline_info

Get airline information

02

get_cheapest_dates

"When is the cheapest to fly NYC to London?" Get cheapest flight dates

03

get_flight_inspirations

"Where can I fly cheaply from Paris?" Get flight inspirations

04

get_flight_status

Get flight schedule

05

search_activities

"What to do in Barcelona?" Search destination activities

06

search_airports

"What is the airport code for Tokyo?" Search airports and cities

07

search_flights

"Find flights from Paris to New York next week." Search flight offers

08

search_hotels

"Find hotels in London for next weekend." Search hotel offers

09

search_hotels_nearby

For "hotels near Eiffel Tower." Search hotels near coordinates

10

search_transfers

Search airport transfers

Example Prompts for Amadeus in LangChain

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

01

"Find the cheapest flights from Paris to New York next week for 2 passengers"

Troubleshooting Amadeus MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Amadeus + LangChain FAQ

Common questions about integrating Amadeus 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 Amadeus to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.