How to Use the Expedia MCP in LangChain

Q: What is the fastest way to set up this integration?

Install langchain-mcp-adapters via pip, configure the server URL, and register the tools. You then pull all 13 tools into your agent using client.gettools() in just a few lines of code.

Build resilient travel booking chains in LangChain using direct access to live Expedia flights, hotels, and car rentals.

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Connect Expedia MCP to LangChain

Create your Vinkius account to connect Expedia 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.

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Setup Expedia with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Expedia region searches to lodging quotes in LangChain

You need a bulletproof sequence to go from a user's vague text to a firm booking. Pass the user's destination to `search_regions` to grab the exact region ID, then feed that ID directly into `search_properties` in your next chain step. This prevents your ReAct agent from guessing coordinates or failing on ambiguous city names. Once your chain identifies the property, use `get_room_quotes` to pull real-time rates. LangChain handles this multi-step flow without losing state, ensuring your agent bases every decision on actual Expedia data.

Trace flight booking pipelines with LangSmith

Booking flights is high-stakes. Run `search_flights` and `get_flight_quotes` inside your LangChain runnable sequence, and watch every input and output inside LangSmith. You see exactly when the agent gets the quote and how it maps that data to `book_flight`. If a booking fails or a rate changes, you don't have to guess what went wrong. The tracing shows you the raw payload from `book_flight` and `cancel_flight` immediately, making debugging live transactions straightforward.

Multi-server travel routing with LangChain MCP Server

Combine this Expedia toolset with other APIs in a single LangChain agent. Use `MultiServerMCPClient` to merge travel tools with your internal user database. Your agent reads a customer's loyalty tier from your database, then calls `search_cars` and `get_car_quotes` to find matching options. Once the agent finds the right car, it runs `book_car` using the driver's email from the initial database step. This lets you build a unified travel assistant that connects external booking with internal user profiles.

Setup guide

Set up Expedia 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 Expedia 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({
    "expedia-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 Expedia transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

You chain them by feeding the output of one tool directly into the input of the next. For instance, pass the region ID from `search_regions` straight into the query arguments for `search_properties` within your LangChain state graph.

Yes, you use LangSmith tracing to monitor every call. When your agent calls `get_flight_quotes` or `get_room_quotes`, LangSmith logs the exact round-trip latency and token payload, helping you optimize your LangChain application.

Your LangChain agent should use a verification step before running `book_flight` or `book_car`. Have the agent present the quote details from `get_flight_quotes` to the user, wait for approval, and then execute the booking tool.

Install `langchain-mcp-adapters` via pip, configure the server URL, and register the tools. You then pull all 13 tools into your agent using `client.get_tools()` in just a few lines of code.

Vinkius runs this MCP Server in an ephemeral V8 sandbox, meaning no booking data, passenger names, or emails are stored on our servers. Your LangChain agent transmits transaction details directly to Expedia, and the session data is wiped instantly after execution.

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