How to Use the Expedia MCP in LlamaIndex

Q: How do I convert Expedia tools into LlamaIndex tools?

Use BasicMCPClient to connect to the server, then wrap it in McpToolSpec. Call totoollistasync() to generate a list of tools that your LlamaIndex FunctionAgent can use immediately.

Q: Can I index Expedia flight quotes for historical price analysis?

Yes, you write the outputs of getflightquotes directly to a LlamaIndex document index. This lets your agent perform semantic queries over past quotes to spot pricing trends before calling searchflights again.

Q: How do I handle region searches in this framework?

Always have your agent call searchregions first. LlamaIndex stores the returned region IDs in its memory context, ensuring subsequent calls to searchproperties use the exact geographic identifier.

Index live Expedia travel data directly into LlamaIndex vector stores to ground your agent's booking decisions.

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Connect Expedia MCP to LlamaIndex

Create your Vinkius account to connect Expedia 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 Expedia with LlamaIndex

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Index Expedia property details for semantic search

Stop letting your agent hallucinate hotel amenities. Use `get_property_detail` to pull raw content for specific lodgings, then index that structured data directly into your LlamaIndex vector store. This lets your RAG pipeline search against actual hotel facts instead of guessing. When a user asks for hotels with quiet workspaces near CDG, LlamaIndex queries the indexed output of `search_properties`. Your agent gets grounded answers, matching user preferences to actual Expedia property profiles.

Query live flight and car quotes in LlamaIndex

Combine static travel documents with live pricing data. Your LlamaIndex agent retrieves corporate travel policies from a local document index, then calls `get_flight_quotes` and `get_car_quotes` to find compliant options. By wrapping these tools in a `McpToolSpec`, the agent treats live Expedia APIs as dynamic data sources. It checks the policy, runs `search_flights`, and verifies compliance before suggesting any itinerary.

Ground booking decisions in LlamaIndex using MCP Server

Avoid expensive booking mistakes by grounding your agent in real-time inventory. Before running `create_booking` or `book_car`, your LlamaIndex agent queries the latest state using `get_room_quotes`. This creates a closed-loop system where the agent verifies availability right before execution. If a room is no longer available, the agent catches the discrepancy in the index and restarts the search instead of attempting a dead booking.

Setup guide

Set up Expedia 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 Expedia 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 Expedia tools.",
)
response = await agent.run("List recent Expedia data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Expedia. 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.

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Common questions about Expedia MCP in LlamaIndex

Use `BasicMCPClient` to connect to the server, then wrap it in `McpToolSpec`. Call `to_tool_list_async()` to generate a list of tools that your LlamaIndex `FunctionAgent` can use immediately.

Yes, you write the outputs of `get_flight_quotes` directly to a LlamaIndex document index. This lets your agent perform semantic queries over past quotes to spot pricing trends before calling `search_flights` again.

LlamaIndex uses a query-and-verify pattern. The agent queries `get_room_quotes` to verify pricing, indexes the result, and checks it against user constraints before executing `create_booking`.

Always have your agent call `search_regions` first. LlamaIndex stores the returned region IDs in its memory context, ensuring subsequent calls to `search_properties` use the exact geographic identifier.

All Expedia queries and booking info pass through a zero-trust MCP Server sandbox on Vinkius. LlamaIndex handles the indexing locally on your infrastructure, and our ephemeral environment ensures no travel details or personal data are persisted.

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