How to integrate Lodgify MCP with Mastra AI

This guide walks you through connecting Lodgify to Mastra AI 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 Mastra AI 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.

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Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard.

30 Tools

Introduction

This guide walks you through connecting Lodgify to Mastra AI 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 Mastra AI 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.

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TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Lodgify tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Lodgify tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Lodgify agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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.

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

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Lodgify through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Lodgify

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["lodgify"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Lodgify MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "lodgify" for Lodgify access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Lodgify toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "lodgify-mastra-agent",
    instructions: "You are an AI agent with Lodgify tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        lodgify: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Lodgify toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Lodgify and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["lodgify"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      lodgify: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "lodgify-mastra-agent",
    instructions: "You are an AI agent with Lodgify tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { lodgify: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Lodgify through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Lodgify action and event your agent gets out of the box.

Create Call Me Back Request

Tool to create a Call Me Back request in Lodgify.

Create Enquiry

Tool to create a new general enquiry with guest and reservation details.

Decline Enquiry

Tool to decline an enquiry, changing its status to Declined.

Delete Enquiry

Tool to delete an enquiry by moving it to the trash.

Delete Reservations

Tool to delete multiple bookings or enquiries in a single batch operation.

Get Countries

Tool to retrieve all available countries.

Get Country by Code

Tool to retrieve a specific country by its ISO code.

Get Currency By Code

Tool to retrieve currency details by its code.

Get Deleted Properties

Retrieves IDs of properties that have been deleted from the Lodgify account.

Get External Bookings

Tool to retrieve external bookings for a specific booking ID.

Get Messaging Thread

Tool to retrieve details of a messaging thread.

Get Property Availability

Retrieves availability information for a specific property within a date range.

Get Room Type Availability

Retrieves availability calendar data for a specific room type within a property for a given date range.

Get Unread Count

Retrieves the total count of unread bookings and enquiries.

Get V1 Availability

Retrieves availability information for all properties and room types for a given date range.

List Channel Connections

Tool to retrieve a list of all channel connections.

List Channel Mappings

Tool to list channel mappings.

List Channel Reservations

Tool to list channel reservations.

List Channels

Retrieves a list of all available distribution channels in the Lodgify account.

List Currencies

Tool to retrieve all available currency codes.

List Properties

Retrieves all properties from the Lodgify account with optional pagination.

List Reservations

Tool to retrieve a paginated list of bookings and enquiries from the inbox.

List Webhooks

Retrieves a list of all webhooks configured in the Lodgify account.

Mark Reservations Not Replied

Tool to batch mark bookings and enquiries as not replied.

Mark Reservations Replied

Tool to batch mark bookings or enquiries as replied.

Recover Enquiry

Tool to restore an enquiry that was previously moved to the trash.

Reopen Enquiry

Tool to reopen an enquiry, changing its status to Open.

Set Availability

Updates the number of available units for a specific room type within a date range.

Subscribe to Webhook

Subscribes to a Lodgify webhook by providing a target URL and event type.

Unsubscribe Webhook

Tool to unsubscribe from a Lodgify webhook.

FAQ

Frequently asked questions

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.

Yes, you can. Mastra AI 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.

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.

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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