How to Use the GetYourGuide MCP in LangChain

Q: How do I connect the GetYourGuide MCP Server to LangChain?

Install langchain-mcp-adapters and langgraph. Initialize a MultiServerMCPClient with your HTTP transport URL, then call client.gettools() to pass the tools to your agent.

Q: Can LangChain agents chain multiple GetYourGuide MCP tools together?

Yes. A ReAct agent will naturally call searchbydestination first, parse the output, and use those IDs to run searchtravelactivities. The framework handles the intermediate reasoning.

Q: How do I handle persistent shopping carts in LangChain?

Use client.session() to maintain state across interactions. This keeps the cart ID in context so the agent can run getcartdetails without asking the user for reference numbers.

Wire GetYourGuide travel inventory directly into LangChain. Build reasoning pipelines that search, plan, and book tours autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GetYourGuide MCP to LangChain

Create your Vinkius account to connect GetYourGuide to LangChain 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

Setup GetYourGuide with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain GetYourGuide MCP Server Tools

The `search_travel_activities` and `list_travel_destinations` tools let your LangChain agents pull live tour inventory into memory. You pass a city name to the destination tool, grab the location ID, and feed it straight into the activity search. LangSmith traces the whole execution. You see exactly how many tokens the agent burned while deciding between a boat tour and a cooking class. The ReAct loop handles the pagination and filtering before passing the final list to the next step in your chain.

Execute Live Bookings

Your agent uses `check_activity_availability` to confirm open slots before triggering `create_travel_booking`. This prevents failed reservations when a user requests a high-demand time slot. The agent reads the availability response and adjusts the booking parameters on the fly. State matters during checkout. LangChain handles the persistent context while the agent calls `get_cart_details` and `list_active_carts`. If the user hesitates, the session stores the cart ID so the agent can resume the transaction later without starting over.

Manage Agent State and Cancellations

Agents manage existing reservations using `get_booking_status` and `cancel_travel_booking`. When a user asks to drop a tour from their itinerary, the chain executes the cancellation and verifies the updated status. You start by calling `verify_api_connection` and `get_partner_details` to establish identity. From there, the agent has full authority to modify the travel plan. The framework ensures every step of the modification gets logged and validated against your defined logic constraints.

Setup guide

Set up GetYourGuide MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes GetYourGuide tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "getyourguide-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent GetYourGuide transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetYourGuide. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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

Connect GetYourGuide now

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 LangChain

Install `langchain-mcp-adapters` and `langgraph`. Initialize a `MultiServerMCPClient` with your HTTP transport URL, then call `client.get_tools()` to pass the tools to your agent.

Yes. A ReAct agent will naturally call `search_by_destination` first, parse the output, and use those IDs to run `search_travel_activities`. The framework handles the intermediate reasoning.

Every tool invocation logs directly to LangSmith. You track the exact JSON payloads sent to the API and the latency of each booking request.

Use `client.session()` to maintain state across interactions. This keeps the cart ID in context so the agent can run `get_cart_details` without asking the user for reference numbers.

The integration processes travel itineraries, booking references, and shopping cart IDs. Vinkius runs the server in an ephemeral V8 Isolate Sandbox. The process spins up for the exact duration of the API call and vanishes immediately after execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript