How to Use the GetYourGuide MCP in LlamaIndex

Q: How do I configure the GetYourGuide MCP Server in LlamaIndex?

Install llama-index-tools-mcp and set up a BasicMCPClient. Wrap it with McpToolSpec and call totoollistasync() to feed the tools into your query engine.

Q: Can LlamaIndex embed GetYourGuide activity descriptions?

Yes. The framework takes the JSON output from searchtravelactivities and converts the text fields into vector embeddings. You can then run semantic searches against live tour inventory.

Q: How does the agent handle sold-out GetYourGuide tours?

The agent runs checkactivityavailability before attempting a booking. If the tool returns zero slots, the agent queries the index for the next best match.

Q: Can I restrict which tools the LlamaIndex MCP agent uses?

You pass an allowedtools filter during setup. This lets you build a read-only agent that only accesses searchbydestination and listtraveldestinations.

Index live GetYourGuide travel inventory into LlamaIndex. Turn global tour availability into a searchable, knowledge-augmented vector database.

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Connect GetYourGuide MCP to LlamaIndex

Create your Vinkius account to connect GetYourGuide to LlamaIndex 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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Setup GetYourGuide with LlamaIndex

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Index GetYourGuide MCP Server Data

The `search_travel_activities` and `get_activity_details` tools pull raw tour metadata into your LlamaIndex pipelines. Instead of just returning a list to the user, the framework embeds the tour descriptions, pricing, and schedules into a vector store. This transforms live API responses into a persistent knowledge base. When a user asks for quiet museum tours, the query engine searches the indexed activity data semantically rather than relying on exact keyword matches. The agent grounds its recommendations in real, available inventory.

Query Live Booking Availability

Agents call `check_activity_availability` and `create_travel_booking` to convert semantic search results into actual reservations. The agent finds the top-ranked tour in the index, verifies open slots in real-time, and executes the purchase. You pass the tool list directly to a `FunctionAgent`. If the chosen activity is sold out, the agent falls back to the vector store, retrieves the next most relevant tour, and attempts the booking process again without human intervention.

Sync Shopping Carts and Status

The `get_cart_details` and `get_booking_status` tools allow the agent to read current travel plans and index them alongside historical data. A user can ask about their upcoming trip, and the agent retrieves the live status directly from the API. Managing modifications is just as direct. If plans change, the agent uses `cancel_travel_booking` to drop the reservation. It then updates the local index to reflect the cancellation, ensuring the RAG application never hallucinates a tour that no longer exists.

Setup guide

Set up GetYourGuide MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all GetYourGuide MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GetYourGuide tools.",
)
response = await agent.run("List recent GetYourGuide data")

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Common questions about GetYourGuide MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Wrap it with `McpToolSpec` and call `to_tool_list_async()` to feed the tools into your query engine.

Yes. The framework takes the JSON output from `search_travel_activities` and converts the text fields into vector embeddings. You can then run semantic searches against live tour inventory.

The agent runs `check_activity_availability` before attempting a booking. If the tool returns zero slots, the agent queries the index for the next best match.

You pass an `allowed_tools` filter during setup. This lets you build a read-only agent that only accesses `search_by_destination` and `list_travel_destinations`.

The server handles live reservation details and cart tokens. Vinkius isolates this data using zero-trust architecture. Authentication tokens never leave the host environment, and memory is wiped clean after the booking completes.

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