# AI HomeDesign MCP (remote · mcp.aihomedesign.com)

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

- Trust score: 63/100 (medium)
- Change this week: +5
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.aihomedesign.com`: 63/100 (this document), [markdown](https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp.md), [page](https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp)

## Channel facts

- Endpoint: `https://mcp.aihomedesign.com/{connector_token}/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 20 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1952 tokens (~97/item across 20 items; 20 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-aihomedesign-aihomedesign-mcp https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp
```

### Codex

```toml
[mcp_servers.com-aihomedesign-aihomedesign-mcp]
url = "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-aihomedesign-aihomedesign-mcp": {
      "type": "remote",
      "url": "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-aihomedesign-aihomedesign-mcp --url https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-aihomedesign-aihomedesign-mcp:
    url: "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-aihomedesign-aihomedesign-mcp": {
      "type": "http",
      "url": "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 61, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-29 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 58, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 57)

First indexed and scored.

## MCP tools (20)

### `list_capabilities` (~55 tokens)

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` (~81 tokens)

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.

Input parameters:

- `tool_slug` (string)

### `describe_tool` (~64 tokens)

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.

Input parameters:

- `tool_slug` (string, required)

### `create_project` (~37 tokens)

Create a project (a container that groups all work for one property).
    Returns the new project's `id`.

Input parameters:

- `address` (string, required)

### `list_projects` (~45 tokens)

List your projects (paginated). Optional free-text `search` on address.

Input parameters:

- `limit` (integer)
- `page` (integer)
- `search` (string)

### `get_project` (~23 tokens)

Fetch a single project by id.

Input parameters:

- `project_id` (string, required)

### `create_order` (~134 tokens)

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).

Input parameters:

- `asset_roles`
- `image_base64`
- `image_urls`
- `project_id` (string)

### `get_order` (~31 tokens)

Fetch an order, including its input assets and any processes run on it.

Input parameters:

- `order_id` (string, required)

### `run_process` (~124 tokens)

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`.

Input parameters:

- `asset_map` (object, required)
- `order_id` (string, required)
- `process_group_id` (string)
- `tool` (string, required)
- `widgets`

### `get_process` (~69 tokens)

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.

Input parameters:

- `process_id` (string, required)

### `wait_for_result` (~75 tokens)

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.

Input parameters:

- `poll_seconds` (integer)
- `process_id` (string, required)
- `timeout_seconds` (integer)

### `virtual_staging` (~199 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `style` (string)
- `wait` (boolean)

### `interior_design` (~109 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `style` (string)
- `wait` (boolean)

### `virtual_restaging` (~105 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `style` (string)
- `wait` (boolean)

### `enhance_image` (~109 tokens)

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.

Input parameters:

- `area` (string)
- `image_base64` (string)
- `image_url` (string)
- `options`
- `project_id` (string)
- `wait` (boolean)

### `remove_items` (~75 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `wait` (boolean)

### `day_to_dusk` (~126 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `options`
- `project_id` (string)
- `sky_style` (string)
- `wait` (boolean)

### `change_wall` (~87 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `wait` (boolean)

### `change_floor` (~81 tokens)

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.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `wait` (boolean)

### `change_ceiling` (~80 tokens)

Change the ceiling finish in a room photo (AI applies a tasteful default).
    Detect `space` from the image. Provide image_url OR image_base64.

Input parameters:

- `image_base64` (string)
- `image_url` (string)
- `project_id` (string)
- `space` (string)
- `wait` (boolean)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp#diagnostics

## Score history

- 2026-08-03: 63
- 2026-08-02: 62
- 2026-08-01: 62
- 2026-07-31: 61
- 2026-07-30: 60
- 2026-07-29: 59
- 2026-07-28: 58
- 2026-07-27: 58
- 2026-07-26: 57

## Links

- Remote endpoint: https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp
- Repository: https://github.com/AIHomeDesign/aihomedesign-mcp
- Website: https://aihomedesign.com/mcp
- Changelog RSS feed: https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-aihomedesign-aihomedesign-mcp/connector-token-mcp