How to Use the Lodgify MCP in OpenAI Agents SDK

Connect your Lodgify account to OpenAI Agents SDK. Manage bookings and rates with production-grade safety and automated tool discovery.

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Connect Lodgify MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lodgify to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automated Lodgify tool discovery

Your OpenAI Agents SDK instance detects all eight Lodgify tools immediately upon connection. It maps functions like `get_availability` and `get_booking` directly into your agent's execution environment without manual definitions. This setup ensures your agent can query property data while respecting the framework's built-in guardrails. You get immediate access to live operations without writing boilerplate code for each endpoint.

Production booking and quote management

Handle guest inquiries by calling `get_quote` and `get_rates` directly within your agent loop. The system verifies pricing logic before your agent makes a final recommendation to the guest. Everything happens in real-time. By tracking `list_bookings` through your agent, you maintain an accurate view of your property schedule without leaving the SDK environment.

Real-time channel synchronization

Monitor your distribution status using `list_channels` to see how Lodgify syncs with external platforms like VRBO or direct booking sites. The server provides the current sync status for every connected channel. Your agent can now flag booking conflicts or sync errors the moment they appear. It keeps your operational state updated so you never miss a change in channel connectivity.

Setup guide

Set up Lodgify MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lodgify tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lodgify tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lodgify tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lodgify Agent",
            instructions="You have access to Lodgify tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Lodgify MCP in OpenAI Agents SDK

The server uses a single endpoint token to authorize all requests. You control access by passing the server configuration directly into your agent constructor, ensuring that only authenticated calls reach your account.

Yes, but you should cache tool lists to keep performance high. By setting cacheToolsList to true, your agent avoids redundant discovery calls and stays within API rate limits.

Currently, the integration focuses on read-only data access for Lodgify. You can pull property details, availability, and booking info to inform your agent's decision-making process.

The OpenAI dashboard provides full tracing for every tool execution. You can inspect the input and output of every `get_property` or `list_properties` call to verify exactly what the agent sees.

The server abstracts the API surface, so your agent interacts with standardized tools. If the underlying API updates, the server handles the translation, keeping your agent logic stable.

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