How do I get a Duffel Access Token?

Sign up for a developer account at the [**Duffel Dashboard**](https://app.duffel.com/). You can generate both 'test' tokens for development and 'live' tokens for real bookings.

Can I make real bookings with this agent?

Yes, if you provide a 'live' access token, the agent can perform real flight bookings. We recommend using a 'test' token first to understand the search and booking flow.

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

Name: Duffel Flights
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Duffel Flights through Vinkius, pass the Edge URL in the `mcps` parameter and every Duffel Flights 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="Duffel Flights Specialist",
    goal="Help users interact with Duffel Flights effectively",
    backstory=(
        "You are an expert at leveraging Duffel Flights 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 Duffel Flights "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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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.

When paired with CrewAI, Duffel Flights becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Duffel Flights 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

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 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 Duffel Flights to CrewAI via MCP

Follow these steps to integrate the Duffel Flights 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 8 tools from Duffel Flights

Why Use CrewAI with the Duffel Flights MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Duffel Flights 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

Duffel Flights + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Duffel Flights 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 Duffel Flights, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Duffel Flights 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 Duffel Flights against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Duffel Flights MCP Tools for CrewAI (8)

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

create_flight_offer_request

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

create_flight_order

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

list_aircraft

Retrieve a list of aircraft used by airlines

list_airlines

Retrieve a list of airlines

list_airports

Retrieve a list of airports

list_flight_offers

Retrieve all available flight offers for a specific offer request

list_flight_orders

Retrieve a list of all flight bookings (orders)

pay_for_flight_order

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

Example Prompts for Duffel Flights in CrewAI

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

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

"List all airports in Brazil."

Troubleshooting Duffel Flights MCP Server with CrewAI

Common issues when connecting Duffel Flights 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.

Duffel Flights + CrewAI FAQ

Common questions about integrating Duffel Flights 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.