The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Roomvana MCP listing page.
An MCP server for Roomvana — AI interior design. It lets an AI assistant browse the room types and design styles Roomvana supports and hand the user a studio link with their choices pre-selected. Upload a photo of any room and get a realistic redesign in about 30 seconds at roomvana.ai.
Read-only and no sign-in required: this server never uploads photos or spends credits. The actual redesign happens on the website.
| Tool | What it does |
|---|---|
list_design_styles | Lists the design styles Roomvana can render (modern, japandi, industrial, coastal, …), each with a short description. |
list_room_types | Lists the rooms and outdoor spaces Roomvana can redesign — interior rooms, house exterior, and garden/patio/backyard. |
design_a_room | Returns a roomvana.ai studio link with the chosen room and style pre-selected; validates both against Roomvana's live catalog. |
Requires Node.js 18+.
Add that to your MCP client config (Claude Desktop: claude_desktop_config.json; other clients: their MCP config file), then restart the client.
"I want to redo my bedroom in a japandi style."
The assistant calls design_a_room with room=bedroom, style=japandi and returns:
Open it, upload a photo of the room, and generate a redesign. Your walls, windows and layout stay put — only the look changes.
The list of supported rooms and styles is fetched live from Roomvana's public catalog endpoint (https://api.roomvana.co/options), so the server never offers something Roomvana can't render. If that endpoint is unreachable, it falls back to a bundled snapshot.
MIT