How to Use the Expedia MCP in AutoGen
Let AutoGen agents debate travel options and execute Expedia bookings once they reach a consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Expedia MCP to AutoGen
Create your Vinkius account to connect Expedia to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Resolve travel trade-offs with AutoGen debates
Let your agents argue over the best itinerary. Set up a budget agent that runs `search_flights` and a convenience agent that checks layovers. They debate the options using real-time data from `get_flight_quotes` until they agree on the best balance. Once they reach a consensus, a third agent executes the booking. This multi-agent debate ensures you don't end up with a cheap flight that has a twelve-hour layover, making your automated travel planning much smarter.
Multi-agent car rental booking in AutoGen
Coordinate complex rental bookings using dedicated agents. One agent uses `search_cars` to find available branches, while another calls `get_car_quotes` to analyze the rates. They negotiate the best vehicle class based on the user's profile. After confirming the details, the coordinator agent invokes `book_car` with the driver's name and email. If the user needs to cancel, a separate support agent triggers `cancel_booking` after verifying the cancellation policy.
Secure booking verification using AutoGen MCP Server
Prevent accidental transactions by separating search and execution roles. In this multi-agent setup, one agent gathers options via `search_properties` and `get_room_quotes`. It presents these to a supervisor agent. The supervisor agent checks the user's constraints and explicitly authorizes the booking agent to run `create_booking`. This division of labor ensures no single agent can initiate a financial transaction without verification.
Set up Expedia MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Expedia tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Expedia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Expedia data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Expedia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Expedia data")
print(result.messages[-1].content) 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 AutoGen
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