Amadeus is the world's largest GDS (Global Distribution System) — powering $18B+ in revenue. 400+ airlines, 150,000+ hotels, car rentals, and experiences all accessible via REST API.

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

Name: Amadeus
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Amadeus through Vinkius, pass the Edge URL in the `mcps` parameter and every Amadeus tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Amadeus Specialist",
    goal="Help users interact with Amadeus effectively",
    backstory=(
        "You are an expert at leveraging Amadeus tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Amadeus "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About Amadeus MCP Server

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

When paired with CrewAI, Amadeus becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Amadeus tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Amadeus MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Amadeus

Why Use CrewAI with the Amadeus MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Amadeus through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Amadeus + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Amadeus for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Amadeus, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Amadeus tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Amadeus against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Amadeus MCP Tools for CrewAI (10)

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

get_airline_info

Get airline information

get_cheapest_dates

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

get_flight_inspirations

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

get_flight_status

Get flight schedule

search_activities

"What to do in Barcelona?" Search destination activities

search_airports

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

search_flights

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

search_hotels

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

search_hotels_nearby

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

search_transfers

Search airport transfers

Example Prompts for Amadeus in CrewAI

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

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

Troubleshooting Amadeus MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Amadeus + CrewAI FAQ

Common questions about integrating Amadeus MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.