Connect Lodgify to Claude: Automate Guest Messaging and Quotes

If you need to connect Lodgify to Claude to automate guest communications, manage property availability, generate custom booking quotes, or oversee channel reservations, you need a Model Context Protocol (MCP) server. This server acts as the translation layer between Claude's LLM tool calls and Lodgify's REST APIs. You can either spend weeks building and maintaining this infrastructure yourself, or use a managed integration platform like Truto to dynamically generate a secure, authenticated MCP server URL.

If your team uses ChatGPT, check out our guide on /connect-lodgify-to-chatgpt-manage-reservations-and-rate-plans/ or explore our broader architectural overview on /connect-lodgify-to-ai-agents-sync-availability-and-payments/.

Giving a Large Language Model (LLM) read and write access to a sprawling property management ecosystem like Lodgify is an engineering challenge. You have to handle API token lifecycles, map massive nested JSON schemas to MCP tool definitions, and deal with Lodgify's strict API data models. Every time Lodgify updates an endpoint or changes a V1 resource to V2, you have to update your server code, redeploy, and test the integration.

This guide breaks down exactly how to use Truto to generate a secure, managed MCP server for Lodgify, connect it natively to Claude Desktop, and execute complex property management workflows using natural language.

The Engineering Reality of the Lodgify API

A custom MCP server is a self-hosted integration layer. While the open MCP standard provides a predictable way for models to discover tools over JSON-RPC, the reality of implementing it against Lodgify's APIs is painful. Lodgify is built to manage complex, multi-channel property inventory, dynamic pricing, and asynchronous guest communications. Its API reflects that complexity.

If you decide to build a custom Lodgify MCP server, here are the specific integration challenges you will face:

Endpoint Version Fragmentation Lodgify has been actively migrating endpoints from V1 to V2, resulting in a fragmented API surface. For example, fetching availability calendars relies heavily on the v2 endpoints, but calculating quotes often requires strict adherence to v1 parameters depending on your specific use case. An LLM has no context on which API version to use for a given task. You must build an abstraction layer that presents a unified set of operations to Claude, hiding the underlying endpoint fragmentation. Truto handles this by exposing clearly named, version-specific tools only when they are fully documented.

Indexed Query Parameters for Complex Objects Generating quotes in Lodgify requires passing complex objects (like room types and add-ons) via query parameters, not JSON bodies. The Lodgify API expects these in an indexed format, such as roomTypes [0][id]=123&roomTypes [0][guest_breakdown][adults]=2. If you ask Claude to construct this URL natively, it will frequently hallucinate array syntaxes or URL-encode the brackets incorrectly. Truto's MCP server abstracts this completely. It provides Claude with a clean JSON schema for the tool arguments, and the Truto proxy engine translates that JSON into the exact indexed query string Lodgify expects.

Handling Strict Rate Limits Without Magic Lodgify enforces rate limits to protect its infrastructure. A common mistake when building custom MCP servers is attempting to have the server automatically absorb and retry failed requests infinitely. Truto takes a deterministic approach: it does not retry, throttle, or apply backoff on rate limit errors automatically. When Lodgify returns an HTTP 429 Too Many Requests, Truto passes that error directly to the caller. However, Truto normalizes the upstream rate limit information into standardized IETF headers (ratelimit-limit, ratelimit-remaining, ratelimit-reset). The caller (your agent framework) is responsible for reading these headers and implementing intelligent retry and backoff logic.

Generating the Lodgify MCP Server

Truto dynamically generates MCP tools based on the resources and documentation defined for your Lodgify integration. A tool only appears in the server if it has a corresponding documentation record, ensuring Claude only sees high-quality, AI-ready endpoints.

You can generate the MCP server URL using either the Truto UI or the Truto API.

Method 1: Via the Truto UI

For teams who want a zero-code setup, the Truto dashboard provides a direct way to spin up an MCP server.

1. Navigate to the Integrated Accounts page in your Truto dashboard and select your connected Lodgify account.
2. Click the MCP Servers tab.
3. Click Create MCP Server.
4. Select your desired configuration. You can name the server, filter allowed methods (e.g., read, write), apply resource tags, and set an optional expiration date.
5. Click Create and copy the generated MCP server URL (e.g., https://api.truto.one/mcp/a1b2c3d4e5f6...).

Method 2: Via the Truto API

For platform engineers building multi-tenant AI products, you can generate MCP servers programmatically. This allows you to provision ephemeral servers for individual users dynamically.

Make a POST request to the /integrated-account/:id/mcp endpoint:

curl -X POST https://api.truto.one/integrated-account/<LODGIFY_ACCOUNT_ID>/mcp \
  -H "Authorization: Bearer <YOUR_TRUTO_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Lodgify Quotes and Comms",
    "config": {
      "methods": ["read", "write", "custom"]
    },
    "expires_at": "2026-12-31T23:59:59Z"
  }'

The API will validate that the Lodgify integration is AI-ready, generate a cryptographically secure token, and return a payload containing your self-contained MCP server URL.

Connecting the MCP Server to Claude

Once you have your Truto MCP URL, you need to register it with Claude. Because the URL contains an encrypted token that securely identifies your specific Lodgify account, no extra authentication headers are required by default.

Method 1: Via the Claude UI

If you are using Claude Desktop or Claude Web for internal operations, adding the connector takes less than a minute.

1. Open Claude and navigate to Settings.
2. Go to Integrations (or Connectors depending on your plan tier).
3. Click Add MCP Server or Add custom connector.
4. Paste the Truto MCP URL into the Server URL field.
5. Click Add. Claude will immediately perform a handshake with the server, request the tools/list, and load your Lodgify tools.

Method 2: Via Manual Configuration File

If you are configuring Claude Desktop locally for development, you can add the server by modifying the claude_desktop_config.json file. Truto MCP servers operate over standard HTTP Server-Sent Events (SSE), so you use the official MCP SSE transport utility.

Open your configuration file:

• Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the Truto MCP server using the npx @modelcontextprotocol/server-sse command:

{
  "mcpServers": {
    "lodgify-truto": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sse",
        "https://api.truto.one/mcp/a1b2c3d4e5f6..."
      ]
    }
  }
}

Restart Claude Desktop. The application will initialize the connection and expose the Lodgify tools to your local model.

Hero Tools for Lodgify

Truto maps Lodgify's extensive API surface into flat, snake_case tools optimized for Claude. Here are the highest-leverage hero tools for automating vacation rental workflows.

list_all_lodgify_availability_v_2

Retrieves availability calendar data for all properties associated with the authenticated user for a specific date range. This is the cornerstone tool for any booking-related inquiry.

Contextual usage: Always provide start and end dates. Claude is excellent at taking natural language requests ("next weekend") and converting them into the required ISO date formats.

"Check the availability for all our properties from October 15th to October 20th and tell me which ones are completely open."

get_single_lodgify_property_by_id

Retrieves the full details and basic info for a given property. This tool is essential for answering guest questions about amenities, location, or property rules.

Contextual usage: Claude will typically call a list tool first to find the property ID, then use this tool to fetch the deep details.

"Get the full property details for property ID 987654 and summarize the kitchen amenities and check-in instructions."

create_a_lodgify_booking_quote

Calculates the price and details for a potential booking based on dates, property, and room types.

Contextual usage: This tool abstracts the complex indexed query string requirement discussed earlier. Claude only needs to pass a clean JSON structure with the arrival, departure, property_id, and roomTypes array.

"Generate a quote for property ID 987654 arriving on Nov 1 and departing Nov 5 for 2 adults."

create_a_lodgify_booking_message

Adds one or more messages to a specific booking thread. This allows Claude to act as a front-line guest communication agent.

Contextual usage: Requires the booking_id. Best used in conjunction with a tool that fetches unread messages or inbox data. Claude can read the context, draft a response, and send it immediately.

"Send a message to the guest for booking ID 112233 letting them know that early check-in is approved for 1:00 PM, and provide the lockbox code."

list_all_lodgify_reservations

Retrieves a paginated list of all bookings and enquiries in the inbox. Supports filtering by status, property, date range, and trash status.

Contextual usage: Truto handles the pagination automatically, pacing through up to 50 results per page. Claude can use this to build daily digests or find specific guest records.

"List all new reservations that came in today across all properties, and summarize the total revenue booked."

create_a_lodgify_booking_payment_link

Generates a payment link for a specific booking. If a guest asks how to pay their remaining balance, Claude can generate this link on the fly.

Contextual usage: Returns the URL to the payment page. Claude can extract this URL and format it cleanly into an email or SMS tool, or directly into a booking message.

"Generate a payment link for booking ID 112233 and draft a short message I can send to the guest with the link to pay their final balance."

For the complete inventory of Lodgify tools, required parameters, and JSON schemas, visit the Lodgify integration page.

Workflows in Action

Individual tools are useful, but the real power of MCP emerges when Claude chains multiple Lodgify tools together to execute complex workflows. Here are two real-world scenarios.

Scenario 1: Automated Inquiry Quoting

Persona: Reservation Manager handling inbound website inquiries.

"A guest named Sarah just emailed asking about staying at the 'Oceanview Villa' from December 10th to December 14th for 4 adults. Check if it's available, generate a quote, and draft a response message I can send her."

Tool Execution Sequence:

1. Claude calls list_all_lodgify_properties_v_2 to search for "Oceanview Villa" and retrieves its property_id.
2. Claude calls list_all_lodgify_availability_v_2 passing the property_id, start (2026-12-10), and end (2026-12-14) to confirm the dates are open.
3. Claude calls create_a_lodgify_booking_quote with the property_id, arrival/departure dates, and an array specifying 4 adults.
4. Claude processes the returned quote data (total price, taxes, fees) and writes a warm, formatted response summarizing the total cost for Sarah.

sequenceDiagram
    participant User
    participant Claude as Claude Desktop
    participant Truto as Truto MCP Server
    participant Lodgify as Lodgify API

    User->>Claude: "Check Oceanview Villa availability and quote..."
    Claude->>Truto: list_all_lodgify_properties_v_2
    Truto->>Lodgify: GET /v2/properties
    Lodgify-->>Truto: Return property ID
    Truto-->>Claude: JSON-RPC Result
    Claude->>Truto: list_all_lodgify_availability_v_2
    Truto->>Lodgify: GET /v2/availability
    Lodgify-->>Truto: Return open dates
    Truto-->>Claude: JSON-RPC Result
    Claude->>Truto: create_a_lodgify_booking_quote
    Truto->>Lodgify: GET /v1/quotes (mapped params)
    Lodgify-->>Truto: Return pricing data
    Truto-->>Claude: JSON-RPC Result
    Claude-->>User: "The villa is available. Here is the drafted response with the $1,200 quote."

Scenario 2: Payment Collection and Messaging

Persona: Guest Experience Coordinator managing active reservations.

"Find the reservation for John Smith checking in next week. If his balance isn't paid, generate a payment link and send him a polite booking message reminding him to pay before arrival."

Tool Execution Sequence:

1. Claude calls list_all_lodgify_reservations to search for John Smith's upcoming booking and retrieves the booking_id.
2. Claude calls get_single_lodgify_booking_by_id to inspect the financial details and confirms the amount_due is greater than zero.
3. Claude calls create_a_lodgify_booking_payment_link for that specific booking_id to generate the secure checkout URL.
4. Claude calls create_a_lodgify_booking_message using the booking_id, injecting the payment URL into a polite reminder message, dispatching it directly to the guest.

Security and Access Control

When you give an AI model write access to a property management system, security is paramount. Truto's MCP architecture provides fine-grained controls to limit what Claude can do.

• Method Filtering: When generating the server via the UI or API, use the methods array to restrict access. Passing ["read"] ensures the server only exposes get and list operations, physically preventing Claude from creating or deleting bookings.
• Tag Filtering: You can restrict tools to specific business domains. For instance, filtering by the reservations tag hides all property configuration and channel mapping tools.
• Time-to-Live (TTL): Use the expires_at field to create ephemeral servers. This is perfect for giving a contractor or temporary AI agent access to Lodgify that automatically revokes itself after 48 hours.
• Extra Authentication: Enable the require_api_token_auth flag to force a dual-layer authentication model. With this enabled, having the MCP URL is not enough - the caller must also inject a valid Truto API token into the HTTP headers to execute tools.

Strategize Your AI Property Management

Connecting Lodgify to Claude transforms the LLM from a passive text generator into an active property management agent. By utilizing a managed MCP server, you completely bypass the pain of tracking API version changes, deciphering indexed query strings, and maintaining OAuth state. You get secure, documented tools delivered directly to your AI workflows.

Stop writing boilerplate integration code. Start building autonomous agents that handle your quoting, guest messaging, and availability tracking reliably.