How to Use the Expedia MCP in Pydantic AI
Validate every Expedia flight, hotel, and car reservation at runtime with Pydantic AI and this type-safe MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Expedia MCP to Pydantic AI
Create your Vinkius account to connect Expedia 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.
Type-safe hotel and flight search with Pydantic AI
The `search_regions` tool returns structured region IDs, names, and coordinates to your MCP client. Pydantic AI validates this incoming geographic data against strict Python schemas before your code processes it. If the server returns an unexpected data type, the framework raises a validation error immediately. This validation extends to `search_properties` and `search_flights`. Your agent cannot pass malformed region IDs or date strings to the API because the Pydantic models block invalid inputs at the boundary. This structure guarantees that your search queries are clean.
Validate live Expedia quotes before booking
The `get_room_quotes` tool fetches live room rates and availability details. Pydantic AI parses this complex pricing JSON into structured Python objects, ensuring that currency codes and numeric rates match your expected schemas. You avoid runtime errors caused by missing fields or unexpected null values. The same validation applies to `get_flight_quotes` and `get_car_quotes`. Because your agent works with validated data, it can safely compare flight options and car classes. The framework ensures that the data used for decision-making is accurate and complete.
Secure booking commits with runtime type checks
The `create_booking` tool executes lodging reservations, requiring precise guest and payment details. Pydantic AI ensures that the payload sent to this tool conforms exactly to the required API schema. This validation prevents failed booking attempts caused by formatting errors. For transportation, the agent uses `book_car` and `book_flight` to finalize reservations. If an API call fails or returns an error, the framework catches the exception safely. You can write clean error-handling code to manage issues like sold-out flights or expired quotes.
Set up Expedia MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"expedia-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Expedia tools.",
)
result = await agent.run("List recent Expedia 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. 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 Pydantic AI
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