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AI HomeDesign MCP

REMOTE · MCP.AIHOMEDESIGN.COM · SCANNED SEP 25

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

0 this week 75 Trust /100
Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability78
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1952 tokens (~97/item across 20 items; 20 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "remove_items" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 21 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the AI HomeDesign MCP server?

AI HomeDesign MCP is a hosted endpoint at https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.aihomedesign.com

# add to Claude Code
claude mcp add --transport http com-aihomedesign-aihomedesign-mcp 'https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "com-aihomedesign-aihomedesign-mcp": {
      "url": "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "com-aihomedesign-aihomedesign-mcp": {
      "type": "http",
      "url": "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
    }
  }
}
# ~/.codex/config.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
    }
  }
}
# add to OpenClaw
openclaw mcp add com-aihomedesign-aihomedesign-mcp --url 'https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  com-aihomedesign-aihomedesign-mcp:
    url: "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "com-aihomedesign-aihomedesign-mcp": {
      "Transport": "http",
      "Url": "https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp"
    }
  }
}
# add to Vellum
assistant mcp add com-aihomedesign-aihomedesign-mcp -t streamable-http -u 'https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp'
// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Aug 26 0
    • The server no longer declares the “experimental” capability functional
  • 31 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 0

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 25 Sept 2026 · Probed https://mcp.aihomedesign.com/{connector_token}/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.aihomedesign.com CN=YE2,O=Let's Encrypt,C=US 17 Aug 2026 15 Nov 2026 ECDSA 256 ECDSA-SHA384 5c77e5f4026a78ca2bc8c02618ba3c20e1d
SANs: mcp.aihomedesign.com
CN=YE2,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.aihomedesign.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
aihomedesign.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.aihomedesign.com/{connector_token}/mcp Verified 200
http (plaintext) http://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp HTTPS enforced 308 https://mcp.aihomedesign.com/%7Bconnector_token%7D/mcp
MCP tools · 20 exposed · ~1,709 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
change_ceiling ~80

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

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
waitboolean––

No output schema declared.

No examples provided.

change_floor ~81

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
waitboolean––

No output schema declared.

No examples provided.

change_wall ~87

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
waitboolean––

No output schema declared.

No examples provided.

create_order ~134

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).

NameTypeReqDescription
asset_roles–––
image_base64–––
image_urls–––
project_idstring––

No output schema declared.

No examples provided.

create_project ~37

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

NameTypeReqDescription
addressstringyes–

No output schema declared.

No examples provided.

day_to_dusk ~126

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
options–––
project_idstring––
sky_stylestring––
waitboolean––

No output schema declared.

No examples provided.

describe_tool ~64

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.

NameTypeReqDescription
tool_slugstringyes–

No output schema declared.

No examples provided.

enhance_image ~109

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.

NameTypeReqDescription
areastring––
image_base64string––
image_urlstring––
options–––
project_idstring––
waitboolean––

No output schema declared.

No examples provided.

get_order ~31

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

NameTypeReqDescription
order_idstringyes–

No output schema declared.

No examples provided.

get_process ~69

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.

NameTypeReqDescription
process_idstringyes–

No output schema declared.

No examples provided.

get_project ~23

Fetch a single project by id.

NameTypeReqDescription
project_idstringyes–

No output schema declared.

No examples provided.

interior_design ~109

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
stylestring––
waitboolean––

No output schema declared.

No examples provided.

list_capabilities ~55

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_projects ~45

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

NameTypeReqDescription
limitinteger––
pageinteger––
searchstring––

No output schema declared.

No examples provided.

list_styles ~81

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.

NameTypeReqDescription
tool_slugstring––

No output schema declared.

No examples provided.

remove_items ~75

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
waitboolean––

No output schema declared.

No examples provided.

run_process ~124

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`.

NameTypeReqDescription
asset_mapobjectyes–
order_idstringyes–
process_group_idstring––
toolstringyes–
widgets–––

No output schema declared.

No examples provided.

virtual_restaging ~105

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
stylestring––
waitboolean––

No output schema declared.

No examples provided.

virtual_staging ~199

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.

NameTypeReqDescription
image_base64string––
image_urlstring––
project_idstring––
spacestring––
stylestring––
waitboolean––

No output schema declared.

No examples provided.

wait_for_result ~75

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.

NameTypeReqDescription
poll_secondsinteger––
process_idstringyes–
timeout_secondsinteger––

No output schema declared.

No examples provided.

Common questions

What is the AI HomeDesign MCP server?

AI HomeDesign MCP is listed in the public MCP registry as com.aihomedesign/aihomedesign-mcp. MCP server to virtually stage, redesign, enhance and declutter real-estate photos. This page covers its hosted endpoint (https://mcp.aihomedesign.com/{connector_token}/mcp).

Is the AI HomeDesign MCP server safe to use?

AI HomeDesign MCP scores 75 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the AI HomeDesign MCP server expose?

AI HomeDesign MCP exposes 20 tools: list_capabilities, list_styles, describe_tool, create_project, list_projects, and 15 more. Their descriptions and schemas cost roughly 1,709 tokens of context every time the server is loaded.

Does the AI HomeDesign MCP server require authentication?

No. We connected to AI HomeDesign MCP without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the AI HomeDesign MCP server still maintained?

AI HomeDesign MCP is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.