How to Use the Lodgify MCP in AutoGen

Q: Do AutoGen agents use Lodgify tools simultaneously?

Yes. Multiple agents can call different tools like getavailability and getrates at the same time to gather all the facts for their debate.

Debate booking strategies in AutoGen using Lodgify data tools.

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Connect Lodgify MCP to AutoGen

Create your Vinkius account to connect Lodgify 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 Lodgify with AutoGen

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Multi-agent debate for Lodgify

Set up a specialized team of agents to handle bookings. One agent calls `get_availability` while another checks `get_rates`, then they debate the best price for a guest. This conflict-driven approach ensures your booking decisions are vetted. AutoGen agents challenge each other until they reach a consensus based on the actual data from your account.

Cross-reference booking data

Have your agents verify booking status against channel info. One agent runs `get_booking` while another verifies channel connection status with `list_channels`. They catch discrepancies that a single agent might miss. This negotiation ensures that your booking records match your channel activity without you checking manually.

Negotiate property quotes

Use an agent to generate a quote with `get_quote` and have a second agent review it against your business margins. They negotiate the final price to ensure it meets your criteria. This keeps your pricing consistent across all inquiries. Your agents handle the math while you define the constraints for the debate.

Setup guide

Set up Lodgify 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 Lodgify 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="Lodgify_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lodgify 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="Lodgify_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lodgify 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 Lodgify. 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 Lodgify MCP in AutoGen

Yes. Multiple agents can call different tools like `get_availability` and `get_rates` at the same time to gather all the facts for their debate.

They use a conversation-based loop. If one agent finds a booking conflict, it flags the issue and the other agents adjust their strategy based on that data.

Yes. You can have an agent specifically assigned to monitor channel health using `list_channels` and report back to the group if any status changes.

The server manages all authentication internally. Your AutoGen agents only interact with the API through the secure, scoped tools provided by Vinkius.

Your guest information is processed strictly in memory during the agent conversation. No data persists on the server once the task completes.

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