AI HomeDesign MCP

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

사용해야 할까요

품질 및 안전성

A
설명 품질
92%
스키마 완전성
70%
이름 품질
91%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (4)

  • LOWTool 'interior_design' description lacks action verbinterior_design에서
  • LOWTool 'change_wall' description lacks action verbchange_wall에서
  • LOWTool 'change_floor' description lacks action verbchange_floor에서
  • LOWTool 'change_ceiling' description lacks action verbchange_ceiling에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~2,737토큰 (도구 정의)
~909 B일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 2.14%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "aihomedesign-mcp": {
      "url": "https://mcp.aihomedesign.com/{connector_token}/mcp"
    }
  }
}

원격 엔드포인트

https://mcp.aihomedesign.com/{connector_token}/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (20)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

{
  "type": "object",
  "properties": {},
  "title": "list_capabilitiesArguments"
}
🟢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.

입력 스키마

{
  "type": "object",
  "properties": {
    "tool_slug": {
      "default": "",
      "title": "Tool Slug",
      "type": "string"
    }
  },
  "title": "list_stylesArguments"
}
🟢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.

입력 스키마

{
  "type": "object",
  "properties": {
    "tool_slug": {
      "title": "Tool Slug",
      "type": "string"
    }
  },
  "required": [
    "tool_slug"
  ],
  "title": "describe_toolArguments"
}
🟡create_project(address)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "address": {
      "title": "Address",
      "type": "string"
    }
  },
  "required": [
    "address"
  ],
  "title": "create_projectArguments"
}
🟢list_projects(page, limit, search)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "page": {
      "default": 1,
      "title": "Page",
      "type": "integer"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "search": {
      "default": "",
      "title": "Search",
      "type": "string"
    }
  },
  "title": "list_projectsArguments"
}
🟢get_project(project_id)

Fetch a single project by id.

입력 스키마

{
  "type": "object",
  "properties": {
    "project_id": {
      "title": "Project Id",
      "type": "string"
    }
  },
  "required": [
    "project_id"
  ],
  "title": "get_projectArguments"
}
🟡create_order(image_urls, image_base64, project_id, asset_roles)

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).

입력 스키마

{
  "type": "object",
  "properties": {
    "image_urls": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Image Urls"
    },
    "image_base64": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Image Base64"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    },
    "asset_roles": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Asset Roles"
    }
  },
  "title": "create_orderArguments"
}
🟢get_order(order_id)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "order_id": {
      "title": "Order Id",
      "type": "string"
    }
  },
  "required": [
    "order_id"
  ],
  "title": "get_orderArguments"
}
🟢run_process(order_id, tool, asset_map, widgets, 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`.

입력 스키마

{
  "type": "object",
  "properties": {
    "order_id": {
      "title": "Order Id",
      "type": "string"
    },
    "tool": {
      "title": "Tool",
      "type": "string"
    },
    "asset_map": {
      "additionalProperties": true,
      "title": "Asset Map",
      "type": "object"
    },
    "widgets": {
      "anyOf": [
        {
          "items": {},
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Widgets"
    },
    "process_group_id": {
      "default": "",
      "title": "Process Group Id",
      "type": "string"
    }
  },
  "required": [
    "order_id",
    "tool",
    "asset_map"
  ],
  "title": "run_processArguments"
}
🟢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.

입력 스키마

{
  "type": "object",
  "properties": {
    "process_id": {
      "title": "Process Id",
      "type": "string"
    }
  },
  "required": [
    "process_id"
  ],
  "title": "get_processArguments"
}
⚪wait_for_result(process_id, timeout_seconds, poll_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.

입력 스키마

{
  "type": "object",
  "properties": {
    "process_id": {
      "title": "Process Id",
      "type": "string"
    },
    "timeout_seconds": {
      "default": 180,
      "title": "Timeout Seconds",
      "type": "integer"
    },
    "poll_seconds": {
      "default": 6,
      "title": "Poll Seconds",
      "type": "integer"
    }
  },
  "required": [
    "process_id"
  ],
  "title": "wait_for_resultArguments"
}
🟢virtual_staging(image_url, style, space, image_base64, wait, ...)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "style": {
      "default": "",
      "title": "Style",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "virtual_stagingArguments"
}
⚪interior_design(image_url, style, space, image_base64, wait, ...)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "style": {
      "default": "",
      "title": "Style",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "interior_designArguments"
}
⚪virtual_restaging(image_url, style, space, image_base64, wait, ...)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "style": {
      "default": "",
      "title": "Style",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "virtual_restagingArguments"
}
🟡enhance_image(image_url, area, options, image_base64, wait, ...)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "area": {
      "default": "indoor",
      "title": "Area",
      "type": "string"
    },
    "options": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Options"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "enhance_imageArguments"
}
🔴remove_items(image_url, image_base64, wait, project_id)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "remove_itemsArguments"
}
⚪day_to_dusk(image_url, sky_style, options, image_base64, wait, ...)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "sky_style": {
      "default": "",
      "title": "Sky Style",
      "type": "string"
    },
    "options": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Options"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "day_to_duskArguments"
}
🟡change_wall(image_url, space, image_base64, wait, project_id)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "change_wallArguments"
}
🟡change_floor(image_url, space, image_base64, wait, project_id)

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "change_floorArguments"
}
🟡change_ceiling(image_url, space, image_base64, wait, project_id)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "image_url": {
      "default": "",
      "title": "Image Url",
      "type": "string"
    },
    "space": {
      "default": "",
      "title": "Space",
      "type": "string"
    },
    "image_base64": {
      "default": "",
      "title": "Image Base64",
      "type": "string"
    },
    "wait": {
      "default": true,
      "title": "Wait",
      "type": "boolean"
    },
    "project_id": {
      "default": "",
      "title": "Project Id",
      "type": "string"
    }
  },
  "title": "change_ceilingArguments"
}

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