AI HomeDesign MCP

AI HomeDesign MCP Server — AI Virtual Staging, Home Staging & Interior Design for Claude

An open‑source Model Context Protocol (MCP) server for AI virtual staging and real‑estate photography editing. It turns the AI HomeDesign photo API into natural‑language tools, so Claude — or any MCP client — can do virtual home staging, AI interior design, photo enhancement, decluttering, and day‑to‑dusk conversions just by being asked.

[License: MIT] [Model Context Protocol] [Python 3.12+]

What is this?

AI HomeDesign MCP Server exposes the AI HomeDesign V3 API as a set of Model Context Protocol tools over streamable HTTP. Any MCP‑compatible AI client — Claude Desktop, Claude in the browser, Cursor, and more — can then run professional real‑estate photo editing in plain English:

• 🛋️ Virtual staging — furnish an empty room with photorealistic AI furniture in a chosen design style. Digital home staging in seconds, with no physical furniture.
• 🎨 Virtual restaging & AI interior design — replace existing furniture or fully redesign a furnished room.
• ✨ Image enhancement — fix lighting, sharpness, and color balance for listing‑ready photos.
• 🧹 Item removal / decluttering — automatically remove furniture and clutter to reveal a clean space.
• 🌆 Day to dusk — convert a daytime exterior into a warm twilight / dusk scene.
• 🧱 Wall, floor & ceiling changes — restyle surfaces with a tasteful AI finish.

Because it speaks MCP, there is no SDK to learn — you describe what you want and the model calls the right tool with the right parameters.

Why virtual staging and home staging over MCP?

Traditional home staging means renting furniture and scheduling a shoot. Virtual staging for realtors replaces that with an edited photo — but it still costs hours in editing tools or days of turnaround from a staging service.

This server collapses that into a conversation: drop in a listing photo, pick a style, and get back a downloadable, market‑ready image. It's multi‑tenant (every caller uses their own AI HomeDesign key), stateless, and self‑hostable, so it fits both a single agent and a production PropTech product.

Available tools

Every helper accepts an image URL or a base64 image, and returns downloadable result‑image URLs.

Supported design styles: prime, modern, farmhouse, scandinavian, hampton, industrial, traditional, contemporary. Supported room types: bedroom, living‑room, kitchen, bathroom, dining‑room, home‑office, outdoor, nursery.

Quick start

Option A — Connect to the hosted server (no setup)

1. Get your API key. Sign in at aihomedesign.com, open API / Developer settings, and copy your x-api-key.

2. Generate your connector link. Paste that key into the generator at aihomedesign.com/mcp. The key is validated server‑side once, then stored encrypted; you get back a personal endpoint:

   https://mcp.aihomedesign.com/aihd_<your-token>/mcp

   Your raw key never appears in the URL.

3. Add it to your AI assistant. In Claude: Settings → Connectors → Add custom connector, name it AI HomeDesign, and paste the URL. Every tool shows up automatically. Works with any MCP‑compatible client.

⚠️ The connector link does not contain your raw key, but it grants access to your account — treat it like a password. Rotating your key in the AI HomeDesign dashboard revokes every link previously issued for it.

Server health check, no key needed: mcp.aihomedesign.com/health

Option B — Self‑host with Docker

git clone https://github.com/AIHomeDesign/aihomedesign-mcp.gitcd aihomedesign-mcpcp .env.example .env      # add your AIHD_API_KEY (and DB_DSN/TOKEN_SECRET for multi-tenant)
docker build -t aihomedesign-mcp .docker run -p 8080:8080 --env-file .env aihomedesign-mcp

The MCP endpoint is served at http://localhost:8080/mcp (streamable HTTP), with a health check at GET /health.

Option C — Run locally with Python

pip install -r requirements.txtexport AIHD_API_KEY=your_key_herepython app/server.py

Configuration

All configuration is via environment variables — see .env.example.

Security & multi‑tenant design

• Bring‑your‑own‑key: each request carries the caller's own AI HomeDesign key; jobs run under that key.
• Keys never sit in the URL: the landing page validates a key, then mints an opaque aihd_… connector token; the raw key is stored encrypted at rest (Fernet) and swapped back in per request.
• Usage logging records the tool, status, and timing per call — never the raw key (only a short, non‑reversible fingerprint).
• Graceful degradation: if the database is unreachable, the server keeps serving.

How it works

MCP client (Claude, Cursor, …)        │  streamable HTTP  /mcp        ▼AI HomeDesign MCP server  ──►  AI HomeDesign V3 API  ──►  result image URLs   (this repo)                  (api.aihomedesign.com)

The server is built on FastMCP and Starlette/uvicorn, with a pure‑ASGI auth middleware that binds the per‑request key.

Tech stack

Python 3.12 · MCP (FastMCP) · Starlette · uvicorn · httpx · PostgreSQL (optional) · Docker.

FAQ

What is an MCP server?

An MCP server exposes tools, data, and prompts to an AI model through the Model Context Protocol — an open standard introduced by Anthropic. The model discovers the available tools at runtime and calls them itself, so you never write glue code against a bespoke SDK. This repo is an MCP server whose tools happen to edit real‑estate photos.

How do you virtually stage a photo with this?

Connect the server to Claude, then send an empty‑room photo and ask for a style — for example "stage this living room in a scandinavian style." Claude calls the virtual_staging tool with the right parameters and returns a downloadable, photorealistic image. No manual editing, no design software.

Is this AI virtual staging free?

The MCP server itself is open source and MIT‑licensed, so you can self‑host it at no cost. The image processing runs on the AI HomeDesign API and uses your own API key.

Does it work with clients other than Claude?

Yes. It speaks standard MCP over streamable HTTP, so any MCP‑compatible client — Claude Desktop, Claude in the browser, Cursor, and others — can use it.

What is the difference between virtual staging and virtual restaging?

Virtual staging furnishes an empty room. Virtual restaging swaps the furniture in an already‑furnished room. Use interior_design when you want to redesign a furnished room completely rather than just replace the furniture.

Learn more

• 🔌 Connect in one click: aihomedesign.com/mcp
• 🌐 Website: aihomedesign.com
• 📖 Model Context Protocol: modelcontextprotocol.io

Contributing

Issues and pull requests are welcome. Please open an issue to discuss substantial changes first.

License

Released under the MIT License.

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