AI Room Design MCP

io.github.rocnubiePublished by GitHub account rocnubiev0.1.0Updated Oct 24, 2026

AI Room Design helps users redesign rooms and visualize new interior layouts with AI-generated

VerifiedSTDIODesktop onlyKnowledge & MemoryMedia & Design

Overview

AI-generated overview

A read-only local MCP server that gives an assistant reference information about the AI Room Design interior visualization service: styles, pricing, FAQ and a '

What you can do
List the image-generation styles and presets the AI Room Design site offers, and recommend a starting style for a stated goal via a prompt template. Return the canonical pricing entry point and official links (website, support, docs) to share with users. Serve read-only resources for styles, pricing, a short FAQ and canonical URLs, plus a prompt that summarizes what the service is, who it is for and how it works.
When to use it
Useful when someone asks an assistant about AI Room Design or AI interior redesign in general and you want answers grounded in the service's own style list, pricing pointer and official links, rather than the assistant generating a room image itself.
Requirements
Runs as a local stdio process on the desktop; the README shows installing via Smithery or cloning the source and running it with Node.js. No API keys, accounts or environment variables are declared.
Before you install
The server only exposes reference material; it does not generate or redesign images itself, so an assistant cannot produce renderings through it. Pricing and style details are static text that may go out of date, and the free-tier and premium plan figures should be confirmed on the official site before relying on them.

Installation

In SourceWeft

  1. Open AI Room Design MCP in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

AI Room Design MCP Server

AI Room Design - Interior Visualization with AI

[MCP Badge] [Zero Config] [Read Only] [License: MIT] [smithery] [MCP] [Node]

[AI Room Design]

A Model Context Protocol server that exposes the canonical AI Room Design knowledge surface — image generation workflows and styles, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://airoom-design.com

🎨 About AI Room Design

AI Room Design (airoom-design.com) is a browser-based interior design tool that uses artificial intelligence to reimagine living spaces from a single photo. Users upload an image of any room, select a target style and customization options, and receive a fully redesigned visualization in seconds. The platform supports over eight room types — living rooms, bedrooms, kitchens, bathrooms, dining rooms, offices, kids' rooms, and balconies — and applies more than twenty distinct design styles powered by models including Google Gemini 2.5. A free tier with five monthly projects makes it accessible without a paid commitment, while premium plans support higher volume and batch workflows.

Key Features

  • Photo-based redesign: Upload a room photo and receive an AI-generated rendering in a chosen style, covering structural elements, furniture arrangement, flooring, and lighting.
  • 20+ design styles: Presets span Modern Minimalist, Scandinavian, Japanese Zen, Industrial, Mid-Century Modern, Bohemian, Coastal, Luxury Modern, Art Deco, and Rustic Farmhouse, among others.
  • Granular customization: Controls for floor type (wood, marble, concrete), accent lighting, and renovation depth (full renovation down to a quick refresh) let users shape how far the AI diverges from the original room.
  • Text-to-room generation: Describe a space in plain text to generate a room concept from scratch, without requiring a source photo.
  • Smart Space Planning and Intelligent Enhancement: Tools for layout suggestions and image quality improvement sit alongside the core style-transfer workflow.
  • Batch processing: Multiple rooms or property units can be processed together, reducing turnaround time for larger projects.
  • Download and share: Finished renderings export directly for use in presentations, listings, or social media.

Use Cases

  • A homeowner planning a renovation uses the tool to preview a Scandinavian living room layout before committing to new furniture purchases.
  • A real estate agent virtually stages an empty apartment with a Luxury Modern interior to improve listing photos without physical staging costs.
  • An interior designer generates a dozen concept variants for a client pitch in the time it would take to sketch one by hand.
  • A short-term rental host refreshes the look of a dated bedroom by testing different color schemes and floor types before contacting a contractor.
  • A property developer processes renderings for an entire multi-unit building in batch, producing consistent marketing visuals across all units.

Who Is It For

AI Room Design targets anyone who needs to visualize interior changes quickly and without professional design software. Homeowners exploring renovation ideas form the broadest segment — the free tier and simple four-step workflow lower the barrier for people with no design background. Real estate agents and property developers benefit from virtual staging that speeds up listing preparation. Interior designers and architects can use it as a rapid ideation layer, generating style variants to show clients before moving into detailed planning. Home staging consultants and renovation advisors will find the batch processing and export features practical for client-facing deliverables. The platform does not require design expertise; anyone comfortable uploading a photo can produce a plausible redesign.

Tools

list_styles

Return the canonical list of image-generation styles or presets the site exposes. (AI Room Design)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for AI Room Design.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for AI Room Design (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://ai-room-design/styles — Supported image-generation styles and presets.
  • site://ai-room-design/pricing — Canonical pricing entry point.
  • site://ai-room-design/faq — Short FAQ generated from public site metadata.
  • site://ai-room-design/links — Canonical URLs to share with users.

Prompts

tell_me_about_ai_room_design

Summarize what the site is, who it's for, and how it works. — AI Room Design

try_image_style_ai_room_design

Recommend a starting image-generation style for a stated goal. — AI Room Design

Installation

Install via Smithery

bash
npx -y @smithery/cli install ai-room-design-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

bash
git clone https://github.com/rocnubie/ai-room-design-mcp.gitcd ai-room-design-mcppnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

json
{  "mcpServers": {    "ai-room-design-mcp": {      "command": "node",      "args": [        "/absolute/path/to/ai-room-design-mcp/src/index.mjs"      ]    }  }}

Debug with MCP Inspector

bash
npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

Development

bash
pnpm installpnpm start                 # run the server over stdio

License

MIT

Source: README.md at commit a6ffdd5

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts