How do I install AI HomeDesign MCP?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does AI HomeDesign MCP need an API key?

No required environment variable is listed on this record.

What transport does AI HomeDesign MCP use?

AI HomeDesign MCP is reached over HTTP.

When was AI HomeDesign MCP last checked?

Last checked 2026-10-22. MCP server to virtually stage, redesign, enhance and declutter real-estate photos.

AI HomeDesign MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://mcp.aihomedesign.com/{connector_token}/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http com.aihomedesign-aihomedesign-mcp https://mcp.aihomedesign.com/{connector_token}/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "com.aihomedesign-aihomedesign-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://mcp.aihomedesign.com/{connector_token}/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.0
Last checked

20 tools

Tools

tools/listVoice mode preview

Tool	What it does
list_capabilities	List every AI HomeDesign tool this MCP can run, grouped by category. Returns each tool's slug, display name, description and whether it needs one or two input images. Start here to discover what is available.
list_styles	List the allowed design styles, room types and widget options. With no argument, returns the global style/room/area lists. With a tool_slug, returns that tool's widgets and their allowed values. The staging/design helpers ONLY accept these values — anything else is rejected before callin
describe_tool	Show the input slots, widgets and selectable options for one tool, plus a ready-to-use example payload for `run_process`. Use this before `run_process` when you need the exact widget/item slugs for a tool.
create_project	Create a project (a container that groups all work for one property). Returns the new project's `id`.
list_projects	List your projects (paginated). Optional free-text `search` on address.
get_project	Fetch a single project by id.
create_order	Upload one or more images and create an order. Provide `image_urls` (public URLs) and/or `image_base64` (raw base64 or data: URLs) — you can use either. Returns `order_id` and an `assets` list whose `id`s you map to a tool's input slot when running a process. For two-image tools pass ro
get_order	Fetch an order, including its input assets and any processes run on it.
run_process	Start an AI job on an existing order (full control over every tool). `asset_map` maps each of the tool's input-slot keys to an asset id from the order. `widgets` is the raw list of {slug, item_slugs}. Use `describe_tool` to get the exact slugs. Returns `process_ids` to poll with `get_pr
get_process	Fetch a process: its `status` (pending/processing/done/failed) and, when done, the `final_assets` with downloadable result image URLs. If a webhook result has already arrived for this process, it is returned immediately.
wait_for_result	Poll a process until it is `done` or `failed` (or until timeout), then return the final result image URLs. Respects the API's 5s minimum poll interval.
virtual_staging	Furnish an EMPTY room photo with AI furniture in a chosen design style. Provide the photo as `image_url` OR `image_base64` (raw base64 or a data: URL). WORKFLOW — follow exactly: • Do NOT choose a `style` yourself. Call this first with style empty; it returns the list of design st
interior_design	Fully redesign a FURNISHED room (walls, floors, furniture, decor) in a style. Same workflow as virtual_staging: never pick the style yourself — ask the user; detect the room type from the image. Provide image_url OR image_base64.
virtual_restaging	Replace the furniture in an ALREADY-FURNISHED room with a new design style. Same workflow as virtual_staging: ask the user for the style, detect the room type from the image. Provide image_url OR image_base64.
enhance_image	Enhance a photo: better lighting, sharpness and colour balance. No style needed. Provide image_url OR image_base64. area: indoor \| outdoor (detect from the image). options (multi, optional): add-fire-to-fireplace, add-screen-to-tv.
remove_items	Auto-detect and remove furniture/clutter from a room photo (decluttering), leaving a clean empty space. No style needed. Provide image_url OR image_base64.
day_to_dusk	Convert a daytime EXTERIOR photo into a dusk / twilight scene. No style needed. Provide image_url OR image_base64. sky_style: leave empty to use the default sky (recommended — the 30+ named sky slugs are not publicly listed). options (multi, optional): shadow-removal, lawn-touch-up.
change_wall	Change the wall finish/colour in a room photo (AI applies a tasteful default finish). Detect `space` (room type) from the image. Provide image_url OR image_base64.
change_floor	Change the floor material in a room photo (AI applies a tasteful default material). Detect `space` from the image. Provide image_url OR image_base64.
change_ceiling	Change the ceiling finish in a room photo (AI applies a tasteful default). Detect `space` from the image. Provide image_url OR image_base64.

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.

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

Tool	What it does	Input
`list_capabilities`	List every tool, grouped by category	—
`list_styles`	List allowed design styles, room types & widget options	—
`describe_tool`	Show a tool's inputs + a ready‑to‑use example payload	tool slug
`virtual_staging`	Furnish an empty room in a design style	image + style + room
`virtual_restaging`	Swap furniture in an already‑furnished room	image + style + room
`interior_design`	Fully redesign a furnished room	image + style + room
`enhance_image`	Improve lighting, sharpness & color	image
`remove_items`	Declutter / remove furniture	image
`day_to_dusk`	Turn a daytime exterior into dusk	image
`change_wall` / `change_floor` / `change_ceiling`	Restyle a surface	image + room
`create_project` · `create_order` · `run_process` · `get_process` · `wait_for_result`	Low‑level primitives for full control	see `describe_tool`

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)

Get your API key. Sign in at aihomedesign.com, open API / Developer settings, and copy your x-api-key.
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.
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.git
cd aihomedesign-mcp
cp .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.txt
export AIHD_API_KEY=your_key_here
python app/server.py

Configuration

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

Variable	Purpose	Default
`AIHD_API_KEY`	Default/fallback AI HomeDesign x‑api‑key	—
`AIHD_API_BASE`	API base URL	`https://api.aihomedesign.com/v3`
`PORT`	Listen port	`8080`
`DB_DSN`	Postgres DSN for token map + usage log (optional)	—
`TOKEN_SECRET`	Fernet key to encrypt user keys at rest (optional)	—
`MCP_CONNECTOR_BASE`	Base used to build connector links	—
`UPLOAD_DIR` / `PUBLIC_BASE`	Enable the built‑in image‑upload endpoint	—

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.

Keywords: MCP server · Model Context Protocol · Claude MCP · Anthropic MCP · MCP tools · virtual staging · AI virtual staging · virtual staging software · home staging · virtual staging for realtors · AI home design · AI interior design · real estate photography · real estate photo editing · virtual restaging · day to dusk · image enhancement · item removal · real estate AI · PropTech.

AI HomeDesign MCP

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install AI HomeDesign MCP?

Does AI HomeDesign MCP need an API key?

What transport does AI HomeDesign MCP use?

When was AI HomeDesign MCP last checked?

Documentation

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

What is this?

Why virtual staging and home staging over MCP?

Available tools

Quick start

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

Option B — Self‑host with Docker

Option C — Run locally with Python

Configuration

Security & multi‑tenant design

How it works

Tech stack

FAQ

What is an MCP server?

How do you virtually stage a photo with this?

Is this AI virtual staging free?

Does it work with clients other than Claude?

What is the difference between virtual staging and virtual restaging?

Learn more

Contributing

License