How to Use the Apaleo MCP in AutoGen

Q: Can AutoGen negotiate Apaleo rate plans?

Agents can call listrateplans and debate which option fits the guest best. They converge on the best price based on your defined criteria.

Debate hotel policies using Apaleo in AutoGen. Multiple agents negotiate reservations to reach consensus.

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Create your Vinkius account to connect Apaleo 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.

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Setup Apaleo with AutoGen

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Perplexity

AutoGen agents debating Apaleo bookings

Assign one agent to check `check_availability` and another to confirm budget constraints. They discuss the booking until they agree on a property. This multi-agent approach handles complex negotiation scenarios. It ensures your hotel reservation process accounts for competing priorities.

Negotiating Apaleo folios in AutoGen

Use `list_folios` to provide agents with billing data during their discussion. They challenge each other on outstanding balances before finalizing an invoice. Your agents act as a team to verify accounting records. It brings human-like deliberation to your front-desk management.

Security and performance in AutoGen

Set a security agent to monitor `list_reservations` for suspicious activity. Meanwhile, a performance agent pushes for faster guest lookup times. They reach a consensus on how to handle the data safely and quickly. It builds robust decision-making systems for your hotel.

Setup guide

Set up Apaleo 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Apaleo tools and returns structured results.

agent.py

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="Apaleo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Apaleo data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Apaleo_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Apaleo data")
    print(result.messages[-1].content)

Get your connection token →

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

Agents can call `list_rate_plans` and debate which option fits the guest best. They converge on the best price based on your defined criteria.

Include the server tools in your agent constructor. The adapter handles the schema so your agents can start talking to the hotel system immediately.

They pass results back and forth in the chat history. One agent fetches the data, and the others use that information to refine their arguments.

You control which tools each agent can use. This prevents unauthorized agents from modifying your hotel reservations.

All guest records remain encrypted during the agent debate. We strip sensitive identifiers before the agents process the folio information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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