--- title: "Connect Lodgify to Claude: Automate Guest Messaging and Quotes" slug: connect-lodgify-to-claude-automate-guest-messaging-and-quotes date: 2026-11-07 author: Uday Gajavalli categories: ["AI & Agents"] excerpt: "Learn how to connect Lodgify to Claude using a managed MCP server. Automate guest messaging, quote generation, and availability tracking via natural language." tldr: "Connect Lodgify to Claude using a Truto managed MCP server to automate vacation rental operations. This guide covers UI and API setup, tool calling for quotes and messaging, and real-world workflows." canonical: https://truto.one/blog/connect-lodgify-to-claude-automate-guest-messaging-and-quotes/ --- # 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](https://truto.one/what-is-mcp-and-mcp-servers-and-how-do-they-work/). 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](https://truto.one/build-vs-buy-the-hidden-costs-of-custom-mcp-servers/), or use a managed integration platform like Truto to dynamically generate a [secure, authenticated MCP server URL](https://truto.one/managed-mcp-for-claude-full-saas-api-access-without-security-headaches/). If your team uses ChatGPT, check out our guide on [/connect-lodgify-to-chatgpt-manage-reservations-and-rate-plans/](https://truto.one/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/](https://truto.one/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](https://truto.one/build-vs-buy-the-hidden-costs-of-custom-mcp-servers/). 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. > Want to give your AI agents secure, authenticated access to Lodgify and 100+ other SaaS APIs? Let's talk about [managed MCP architecture](https://truto.one/managed-mcp-for-claude-full-saas-api-access-without-security-headaches/). > > [Talk to us](https://truto.one/book-a-demo/) ## The Engineering Reality of the Lodgify API A custom MCP server is a self-hosted integration layer. While the [open MCP standard](https://truto.one/what-is-mcp-and-mcp-servers-and-how-do-they-work/) 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](https://truto.one/build-vs-buy-the-hidden-costs-of-custom-mcp-servers/), 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: ```bash curl -X POST https://api.truto.one/integrated-account//mcp \ -H "Authorization: Bearer " \ -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: ```json { "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](https://truto.one/integrations/detail/lodgify). ## 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. ```mermaid 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. > Ready to automate your Lodgify operations with Claude? Book a demo to see Truto's managed MCP architecture in action. > > [Talk to us](https://truto.one/book-a-demo/)