Connect RentalReady to Claude

Why this PMS is ahead on AI access

RentalReady is a vacation rental PMS developed in France by the GuestReady Group, originally built to run GuestReady's own portfolio, one of the largest professional short-term rental operations in Europe. According to Swikly's April 2026 profile, the platform was built by property managers for their own scaling problems before being sold to external operators.

That operator DNA shows in how it approached AI. In June 2026, RentalReady shipped two things at once: an upgraded Maia Insights assistant inside the product, and an MCP server that opens the same operational context to outside AI tools. According to RentalReady CTO Francois Lavie in the launch coverage, the breakthrough is giving AI access to the operational context property managers already work with every day. The MCP feature page says it is designed to work with AI agents and tools such as Claude, OpenAI, or Gemini.

For comparison with other platforms in your stack, the rest of our Claude guides for the STR stack cover the same setup for Guesty, Hostaway, Hospitable, Turno, and more.

What you can ask Claude once it's connected

RentalReady's MCP exposes reservations, properties, guest conversations, tasks, reviews, tickets, and reporting, per its feature page. That maps to questions like:

One caveat: RentalReady has not published a public list of the MCP server's tools, so the exact query surface depends on what your account is granted. Confirm coverage with RentalReady when you request access.

Pick your route

There is no public self-serve setup page for the native MCP yet, which is why this guide covers three routes instead of one.

Prerequisites

Whichever route you take, you need:

• A RentalReady account with admin access, since granting an external tool access to guest and financial data is an admin decision.
• Claude on a plan that supports connectors and MCP: Claude Desktop, claude.ai with custom connectors, or the Claude Code CLI. Download Claude Desktop.
• For route C only: a developer, Python or Node.js, and API credentials (client ID and secret) issued by RentalReady.

Deepest access, arranged through RentalReady

Self-serve today, narrower surface

Zapier runs a hosted MCP platform at mcp.zapier.com with a RentalReady integration. Per Zapier's page, the RentalReady surface covers triggers for new reservations and new reviews, plus actions to create and update tickets with fields like priority, category, due date, and assignee group. That is much narrower than the native MCP, but it means Claude can watch bookings and file maintenance tickets for you without waiting on a sales conversation.

Most control, needs a developer

RentalReady has a real API, and unusually for this category, publishes working client examples in public. The guestready/rentalready-api-client-examples repository on GitHub shows the authentication flow in Python: OAuth 2.0 authorization code grant, with the authorization and token endpoints under https://pms.rentalready.io/o/.

curl -X POST "https://pms.rentalready.io/o/token/" \
  -d "grant_type=authorization_code" \
  -d "code=YOUR_AUTH_CODE" \
  -d "client_id=YOUR_CLIENT_ID" \
  -d "client_secret=YOUR_CLIENT_SECRET" \
  -d "redirect_uri=YOUR_REDIRECT_URI"

The operations angle

RentalReady's field side is where MCP access gets interesting for housekeeping teams. Its task management feature gives field staff a dedicated mobile app for task selection, reporting, and real-time updates, with customisable checklists and photo-based reporting, and maintenance runs through its built-in TicketReady ticketing, per RentalReady's task management page. Connected to Claude, that turns into questions like "which cleans finished today without a completed checklist" answered in one line instead of a dashboard crawl.

The photos themselves are the unfinished part of that loop: a checklist confirms a photo was taken, not what the photo shows. That inspection layer, reading turnover photos for damage and missed issues automatically, is what we build at RapidEye.

Frequently asked questions

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