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How to Use the Expedia Hotels MCP in Pydantic AI

Build type-safe travel workflows with Pydantic AI and Expedia Hotels. Strict schema validation for every booking action.

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Connect Expedia Hotels MCP to Pydantic AI

Create your Vinkius account to connect Expedia Hotels to Pydantic AI 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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Type-safe booking for Pydantic AI

Every response from `book_hotel` is validated against your Pydantic models. If the API returns a malformed structure, your agent catches it immediately. This prevents runtime errors during the booking flow. You define the expected output, and Pydantic AI enforces it during the interaction with the Expedia server.

Strict rate validation in Pydantic AI

Use `check_availability` to get the latest room data. Because Pydantic AI validates the schema, your agent knows exactly which rate plans are available before it proceeds. Run `price_check` to verify the final quote. The agent fails if the price has changed, ensuring you never book a room at an incorrect rate.

Reliable data retrieval for Pydantic AI

Fetch property details with `get_hotel_details` and trust the outcome. Pydantic AI maps the response to your models, making it easy to access amenities or policies. Use `get_guest_reviews` to pull feedback data. The strict typing ensures your agent only processes valid review objects, keeping your logic clean and predictable.

Setup guide

Set up Expedia Hotels MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "expedia-hotels-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Expedia Hotels tools.",
)

result = await agent.run("List recent Expedia Hotels transactions")
print(result.output)

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

Pydantic AI uses your defined models to verify every field returned by the MCP tools. If the data doesn't match, it raises a validation error.
Yes. You define the search criteria as a Pydantic model and pass those values to the `search_hotels` tool arguments.
It does. You can model the `cancel_itinerary` response to ensure you correctly parse the refund status after the API call.
The server uses a dedicated endpoint token to secure your connection. No credentials are hardcoded, and all traffic is encrypted via the MCP protocol.
Emails are passed as validated strings within the `book_hotel` tool. Your Pydantic model ensures the format is correct before the request is even sent.

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