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Aihomedesign MCP Server

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MCP server to virtually stage, redesign, enhance and declutter real-estate photos.

About

MCP server to virtually stage, redesign, enhance and declutter real-estate photos.

Remote endpoints: streamable-http: https://mcp.aihomedesign.com/{connector_token}/mcp

Security Report

4.2
Use Caution4.2High Risk

The server implements multi-tenant authentication with per-request API key binding and uses secure credential handling (Fernet encryption at rest). Core security controls are sound, but there are several moderate-severity code quality issues: insufficient input validation on some parameters, broad exception handling that may mask errors, missing rate limiting, and incomplete file upload validation. These issues warrant attention but do not represent critical vulnerabilities. Permissions align well with the server's purpose (real estate photo editing via external API). Supply chain analysis found 16 known vulnerabilities in dependencies (0 critical, 8 high severity).

3 files analyzed · 24 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

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

ToolWhat it doesInput
list_capabilitiesList every tool, grouped by category
list_stylesList allowed design styles, room types & widget options
describe_toolShow a tool's inputs + a ready‑to‑use example payloadtool slug
virtual_stagingFurnish an empty room in a design styleimage + style + room
virtual_restagingSwap furniture in an already‑furnished roomimage + style + room
interior_designFully redesign a furnished roomimage + style + room
enhance_imageImprove lighting, sharpness & colorimage
remove_itemsDeclutter / remove furnitureimage
day_to_duskTurn a daytime exterior into duskimage
change_wall / change_floor / change_ceilingRestyle a surfaceimage + room
create_project · create_order · run_process · get_process · wait_for_resultLow‑level primitives for full controlsee 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)

  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.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.

VariablePurposeDefault
AIHD_API_KEYDefault/fallback AI HomeDesign x‑api‑key
AIHD_API_BASEAPI base URLhttps://api.aihomedesign.com/v3
PORTListen port8080
DB_DSNPostgres DSN for token map + usage log (optional)
TOKEN_SECRETFernet key to encrypt user keys at rest (optional)
MCP_CONNECTOR_BASEBase used to build connector links
UPLOAD_DIR / PUBLIC_BASEEnable 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

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.

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