How to integrate Lodgify MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Lodgify to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Lodgify agent that can show available dates for property 1234, list all airbnb channel reservations this week, get all properties managed in your account through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Lodgify account through Composio's Lodgify MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Lodgify with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Lodgify
  • Configure an AI agent that can use Lodgify as a tool
  • Run a live chat session where you can ask the agent to perform Lodgify operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Lodgify MCP server, and what's possible with it?

The Lodgify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Lodgify account. It provides structured and secure access to your vacation rental properties, channels, and reservations, so your agent can perform actions like checking property availability, synchronizing channel data, retrieving reservations, and managing listings on your behalf.

  • Property availability checks: Instantly ask your agent to retrieve up-to-date availability information for any property, including pricing, minimum stay requirements, and current bookings.
  • Reservation management across channels: Let your agent list and filter reservations from all your connected channels, making it easy to track bookings and guest details in one place.
  • Channel synchronization and connection insights: Effortlessly pull a list of all channel connections and mappings, ensuring your property data stays in sync across platforms like Airbnb, Booking.com, and more.
  • Property portfolio overview: Quickly retrieve and paginate through all your properties, so you can get a comprehensive view of your listings and manage them at scale.
  • Supported country and channel discovery: Have your agent fetch supported countries and available channels to help with onboarding new properties or expanding your rental business.

Supported Tools & Triggers

Tools
Create Call Me Back RequestTool to create a Call Me Back request in Lodgify.
Create EnquiryTool to create a new general enquiry with guest and reservation details.
Decline EnquiryTool to decline an enquiry, changing its status to Declined.
Delete EnquiryTool to delete an enquiry by moving it to the trash.
Delete ReservationsTool to delete multiple bookings or enquiries in a single batch operation.
Get CountriesTool to retrieve all available countries.
Get Country by CodeTool to retrieve a specific country by its ISO code.
Get Currency By CodeTool to retrieve currency details by its code.
Get Deleted PropertiesRetrieves IDs of properties that have been deleted from the Lodgify account.
Get External BookingsTool to retrieve external bookings for a specific booking ID.
Get Messaging ThreadTool to retrieve details of a messaging thread.
Get Property AvailabilityRetrieves availability information for a specific property within a date range.
Get Room Type AvailabilityRetrieves availability calendar data for a specific room type within a property for a given date range.
Get Unread CountRetrieves the total count of unread bookings and enquiries.
Get V1 AvailabilityRetrieves availability information for all properties and room types for a given date range.
List Channel ConnectionsTool to retrieve a list of all channel connections.
List Channel MappingsTool to list channel mappings.
List Channel ReservationsTool to list channel reservations.
List ChannelsRetrieves a list of all available distribution channels in the Lodgify account.
List CurrenciesTool to retrieve all available currency codes.
List PropertiesRetrieves all properties from the Lodgify account with optional pagination.
List ReservationsTool to retrieve a paginated list of bookings and enquiries from the inbox.
List WebhooksRetrieves a list of all webhooks configured in the Lodgify account.
Mark Reservations Not RepliedTool to batch mark bookings and enquiries as not replied.
Mark Reservations RepliedTool to batch mark bookings or enquiries as replied.
Recover EnquiryTool to restore an enquiry that was previously moved to the trash.
Reopen EnquiryTool to reopen an enquiry, changing its status to Open.
Set AvailabilityUpdates the number of available units for a specific room type within a date range.
Subscribe to WebhookSubscribes to a Lodgify webhook by providing a target URL and event type.
Unsubscribe WebhookTool to unsubscribe from a Lodgify webhook.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Lodgify project
  • Some knowledge of Python or Typescript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Lodgify.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Lodgify Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["lodgify"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only lodgify.
  • The router checks the user's Lodgify connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Lodgify.
  • This approach keeps things lightweight and lets the agent request Lodgify tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Lodgify. "
        "Help users perform Lodgify operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Lodgify and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Lodgify operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Lodgify.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Lodgify and OpenAI Agents SDK:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["lodgify"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Lodgify. "
        "Help users perform Lodgify operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Lodgify MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Lodgify.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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FAQ

What are the differences in Tool Router MCP and Lodgify MCP?

With a standalone Lodgify MCP server, the agents and LLMs can only access a fixed set of Lodgify tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Lodgify and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Lodgify tools.

Can I manage the permissions and scopes for Lodgify while using Tool Router?

Yes, absolutely. You can configure which Lodgify scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Lodgify data and credentials are handled as safely as possible.

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