Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
MCP server to virtually stage, redesign, enhance and declutter real-estate photos.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Works in Claude on the web, desktop and mobile:
https://mcp.aihomedesign.com/{connector_token}/mcpThe address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Run this in your terminal
claude mcp add --transport http aihomedesign 'https://mcp.aihomedesign.com/{connector_token}/mcp'The address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aihomedesign": {
"url": "https://mcp.aihomedesign.com/{connector_token}/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
The address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"aihomedesign": {
"type": "http",
"url": "https://mcp.aihomedesign.com/{connector_token}/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.aihomedesign.com/{connector_token}/mcpThe address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Menu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified against the domain aihomedesign.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
The address needs your own account values, so we cannot check it for you
The address needs your own account values, so we cannot check it for you
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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:
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.
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.
| 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.
x-api-key. https://mcp.aihomedesign.com/aihd_<your-token>/mcp
Your raw key never appears in the URL.
⚠️ 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
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.
pip install -r requirements.txt
export AIHD_API_KEY=your_key_here python app/server.py
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 | — |
aihd_… connector token; the raw key is stored encrypted at rest (Fernet) and swapped back in per request.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.
Python 3.12 · MCP (FastMCP) · Starlette · uvicorn · httpx · PostgreSQL (optional) · Docker.
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.
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.
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.
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.
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.
Issues and pull requests are welcome. Please open an issue to discuss substantial changes first.
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.