mcp server
AI HomeDesign MCP
MCP server to virtually stage, redesign, enhance and declutter real-estate photos.
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Most recent push to the repository was 2026-07-09.
What this server can do
20 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
change_ceiling(wait, space, image_url, project_id, image_base64)- Change the ceiling finish in a room photo (AI applies a tasteful default). Detect `space` from the image. Provide image_url OR image_base64.
change_floor(wait, space, image_url, project_id, image_base64)- 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_wall(wait, space, image_url, project_id, image_base64)- 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.
create_order(image_urls, project_id, asset_roles, image_base64)- 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 roles like ['primary_angle','secondary_angle'] (or 'mask' for mask tools).
create_project(address)- Create a project (a container that groups all work for one property). Returns the new project's `id`. Required: address.
day_to_dusk(wait, options, image_url, sky_style, project_id, image_base64)- 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.
describe_tool(tool_slug)- 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. Required: tool_slug.
enhance_image(area, wait, options, image_url, project_id, image_base64)- 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.
get_order(order_id)- Fetch an order, including its input assets and any processes run on it. Required: order_id.
get_process(process_id)- 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. Required: process_id.
get_project(project_id)- Fetch a single project by id. Required: project_id.
interior_design(wait, space, style, image_url, project_id, image_base64)- 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.
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_projects(page, limit, search)- List your projects (paginated). Optional free-text `search` on address.
list_styles(tool_slug)- 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 calling the API.
remove_items(wait, image_url, project_id, image_base64)- 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.
run_process(tool, widgets, order_id, asset_map, process_group_id)- 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_process`. Required: order_id, tool, asset_map.
virtual_restaging(wait, space, style, image_url, project_id, image_base64)- 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.
virtual_staging(wait, space, style, image_url, project_id, image_base64)- 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 styles. Present them to the user and let THEM pick, then call again with their chosen style. • Detect `space` (room type) from the image yourself and pass it (bedroom, kitchen, living-room, ...). Only if you truly cannot tell, leave it empty and the tool will ask the user.
wait_for_result(process_id, poll_seconds, timeout_seconds)- 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. Required: process_id.
Last successful function declaration observed on . Source: https://mcp.aihomedesign.com/{connector_token}/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.aihomedesign.com/{connector_token}/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-09 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-09 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-09 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 20 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.aihomedesign.com | |
| mcp endpoint status | ok | The server listed 20 functions when asked. | as of probe | mcp.aihomedesign.com |
Where to get it
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These share tags the maintainers applied themselves, such as proptech, real-estate, virtual-staging, anthropic-mcp. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-home-design, ai-interior-design, anthropic-mcp, claude, claude-mcp, home-staging, interior-design, mcp, mcp-server, mcp-tools, model-context-protocol, proptech, python, real-estate, real-estate-ai, real-estate-photo-editing, real-estate-photography, virtual-staging, virtual-staging-ai, virtual-staging-software.
This record as data
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