4,500+ servers built on MCP Fusion
Vinkius
Amadeus logo
Vinkius
CrewAI logo

How to Use the Amadeus MCP in CrewAI

Deploy autonomous crews of AI agents to research, plan, and monitor travel using Amadeus data with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Amadeus MCP on Cursor AI Code Editor MCP Client Amadeus MCP on Claude Desktop App MCP Integration Amadeus MCP on OpenAI Agents SDK MCP Compatible Amadeus MCP on Visual Studio Code MCP Extension Client Amadeus MCP on GitHub Copilot AI Agent MCP Integration Amadeus MCP on Google Gemini AI MCP Integration Amadeus MCP on Lovable AI Development MCP Client Amadeus MCP on Mistral AI Agents MCP Compatible Amadeus MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
CrewAI

Connect Amadeus MCP to CrewAI

Create your Vinkius account to connect Amadeus to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Assemble a Travel Research Team

Stop using one agent for everything. With CrewAI, you can build a team. Assign a 'Scout Agent' to find interesting destinations using the `get_flight_inspirations` tool. Once it finds a few options, it passes them to a 'Logistics Agent' that uses `search_flights` and `search_hotels` to check prices and availability. You set this up in CrewAI by passing the MCP server URL and using `tool_filter` to give each agent only the tools it needs. This is role-based specialization. The Scout doesn't need to know how to book a hotel, and the Logistics agent doesn't need to look for inspiration. It's more efficient and easier to manage.

Autonomous End-to-End Trip Planning

Build a crew that plans an entire trip without human intervention. A 'Planner Agent' creates a draft itinerary. A 'Fact-Checker Agent' then verifies details, using `get_airline_info` to confirm baggage policies or `get_flight_status` to check for on-time history. Finally, an 'Itinerary Agent' fills out the schedule by calling `search_activities`. This works because CrewAI manages the process, passing context from one agent to the next through a shared memory. The Amadeus tools provide the ground truth for the whole operation. This MCP server acts as the crew's collective window to the live travel market.

Build a Proactive Monitoring Crew

Your agents' work doesn't have to stop after booking. You can create a 'Monitoring Crew' for trips in progress. One 'Flight Watcher' agent repeatedly calls `get_flight_status`. If it detects a delay or cancellation, it triggers an alert and passes the details to a 'Problem Solver' agent. The 'Problem Solver' immediately gets to work, using `search_flights` to find alternatives and `search_hotels_nearby` to find a room near the airport if needed. This is an autonomous system that spots and solves problems, often before the traveler even knows something is wrong. Your MCP Server provides the real-time data that makes it possible.

Setup guide

Set up Amadeus MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Amadeus tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Amadeus Analyst",
    goal="Access and analyze Amadeus data via MCP.",
    backstory="Expert analyst with direct Amadeus access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Amadeus transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Amadeus MCP in CrewAI

You connect CrewAI to the Amadeus MCP and use the `tool_filter` parameter when defining your agent's tools. This lets you create a list of tool names, like `['search_flights', 'search_hotels']`, that a specific agent is allowed to use.
Yes, this is a perfect use case for CrewAI's sequential task execution. The first agent's task would use `get_flight_inspirations` and its output (the chosen destination) would be the input for the second agent's task, which would then use `search_activities`.
For a simple setup, just pass your unique Vinkius URL directly into the `mcps` list when you instantiate your Agent. CrewAI will automatically fetch and register all available tools from the Amadeus server for that agent to use.
Yes, the `search_airports` tool is designed for that. An agent can use it to look up airport codes for cities, or find which city an airport code belongs to. It's a useful utility for making travel plans more precise.
The data for your crew's travel searches is sent to the Amadeus server to get live results. Each request is handled in a dedicated, zero-trust sandbox on Vinkius that is torn down afterward. Your Vinkius endpoint token is the only credential needed, securing access for your whole crew.

Start using the Amadeus MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Amadeus. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.