MCP (Model Context Protocol) is a standard that lets AI assistants connect directly to your Wheelhouse account. Once connected, an assistant can read and act on your account data through natural language, instead of you clicking through the product yourself.
Wheelhouse MCP gives access to 58 tools built on our Revenue Management APIs. These tools offer full 1:1 parity with the Wheelhouse UI — anything you can do in the product, you can do through MCP.
📽️ Watch a demo: https://www.loom.com/share/07d239b07b2a4cf18b67e95c0d02311e
What You Can Do With It
Once connected, you can ask your AI assistant to do things like:
Pull your pacing against your neighborhood comps and draft an email to owners flagging listings where minimum prices are limiting bookings
Review your seasons and flag listings where the Base Price falls below the neighborhood median during peak weeks
Pull your last 90 days of reservations and identify listings underperforming on ADR versus your comp set
These are examples of prompts, not a fixed list of capabilities — since MCP has full parity with the UI, you can ask for anything the product itself supports.
What Data and Settings MCP Can Access
Wheelhouse MCP is built on the same Revenue Management APIs used inside the Wheelhouse UI, so it isn't a limited or read-only layer. Connected assistants have access to the same data and controls your team uses in the product, including:
Pricing preferences
Minimum and maximum price rules
Reservations
Comp data
Custom rates
Before You Connect
Any Wheelhouse user can turn on MCP access themselves. There's no request form and no approval wait.
MCP access is turned off until you switch it on, using the steps below.
How to Connect an AI Assistant
In your Wheelhouse account, go to API & MCP → MCP.
Click Enable MCP Access.
Follow the setup instructions for your specific AI assistant (Claude, Cursor, VS Code, or another MCP-compatible client).
Note
Setup time varies by client, but is typically only a few minutes.