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How to Use the GetYourGuide MCP in CrewAI

Assemble an autonomous crew of travel agents using CrewAI to manage GetYourGuide operations from end to end.

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CrewAI

Connect GetYourGuide MCP to CrewAI

Create your Vinkius account to connect GetYourGuide 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.

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Assign Specialized Travel Roles

A single agent can't do it all. With CrewAI, you build a team. Create a 'Researcher' agent whose only job is to use `search_travel_activities` and `get_activity_details` to find the best options. It then passes its findings to a 'Booking Specialist' agent. This specialist agent takes the research and uses `check_activity_availability` and `create_travel_booking` to finalize the trip. This division of labor makes your automation cleaner, more focused, and easier to debug. This MCP server provides the exact tools for this model.

Run Autonomous Monitoring & Support

Your crew can work even when you're not. Set up a 'Support' agent that periodically runs `get_booking_status` for all ongoing bookings. If a status changes unexpectedly, it can delegate a task to a 'Crisis' agent. That agent can then use `cancel_travel_booking` if a rule is met or escalate the issue to a human. This creates a self-managing system for your travel operations, powered by your CrewAI team and GetYourGuide's tools.

Enable Shared Itinerary Planning

CrewAI agents share memory, which is perfect for complex trip planning. One agent can use `search_by_destination` to establish the location. A second agent can then access that context and run `search_travel_activities` within that city. A third agent, the 'Accountant', can check `get_cart_details` to ensure the total cost is within budget before the 'Booking Specialist' is cleared to use `create_travel_booking`. It's a collaborative process, all done autonomously.

Setup guide

Set up GetYourGuide 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 GetYourGuide tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

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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 GetYourGuide MCP in CrewAI

It's straightforward. After you `pip install crewai[tools]`, you can pass your Vinkius server URL directly into an Agent's `mcps` parameter. For more control, use `MCPServerHTTP` and the `tool_filter` argument to decide exactly which GetYourGuide tools each agent can access.
Absolutely. A 'Planner' agent can start with `list_travel_destinations`, pick one, then pass it to a 'Researcher' agent. The researcher uses `search_travel_activities` to find options, and a 'Booking' agent finalizes it with `create_travel_booking`. The whole process can be sequential or hierarchical.
Create a dedicated 'Administrator' agent and give it exclusive access to the `cancel_travel_booking` tool using `tool_filter`. This agent's task can be to process cancellation requests from a queue or another agent, ensuring that only it can perform that action.
Yes, the `verify_api_connection` tool is available. You can have a 'System Check' agent run this tool as its first task to ensure the MCP server and the GetYourGuide API are reachable before the rest of the crew starts their work.
Your crew only accesses the data it needs, like itineraries and booking codes. CrewAI's `tool_filter` lets you enforce strict permissions, so your 'Researcher' agent can't access `cancel_travel_booking`. Every tool call is routed through your isolated Vinkius sandbox, keeping the data path clean and secure.

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