Wires Claude into the AI Room Design platform's style catalog, pricing, and FAQ without requiring API keys or rate limits. Exposes three read-only tools: list twenty-plus interior design presets (Scandinavian, Industrial, Coastal, etc.), fetch current pricing tiers, and pull official support links. Two prompts let you ask for a style recommendation or a platform overview. Useful when you're helping users pick a design direction before they upload a room photo, need to quote subscription costs mid-conversation, or want to hand off to the actual rendering service at airoom-design.com. The server pulls from static metadata, so responses are fast and nothing writes back to the platform.
AI Room Design - Interior Visualization with AI
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
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.
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.
list_stylesReturn the canonical list of image-generation styles or presets the site exposes. (AI Room Design)
Input: no parameters. Returns: text/markdown.
get_pricingReturn the canonical pricing entry point for AI Room Design.
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for AI Room Design (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
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.tell_me_about_ai_room_designSummarize what the site is, who it's for, and how it works. — AI Room Design
try_image_style_ai_room_designRecommend a starting image-generation style for a stated goal. — AI Room Design
npx -y @smithery/cli install ai-room-design-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/ai-room-design-mcp.git
cd ai-room-design-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"ai-room-design-mcp": {
"command": "node",
"args": [
"/absolute/path/to/ai-room-design-mcp/src/index.mjs"
]
}
}
}
npx @modelcontextprotocol/inspector node src/index.mjs
pnpm install
pnpm start # run the server over stdio
MIT
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