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AI HomeDesign MCP

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

使うべきか

品質と安全性

A
説明の品質
92%
スキーマの完全性
70%
命名の品質
91%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

検出事項（4）

  • LOWTool 'interior_design' description lacks action verbinterior_design 内
  • LOWTool 'change_wall' description lacks action verbchange_wall 内
  • LOWTool 'change_floor' description lacks action verbchange_floor 内
  • LOWTool 'change_ceiling' description lacks action verbchange_ceiling 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~2,737トークン数（ツール定義）
~909 B一般的なレスポンスサイズ
注意への影響は大きい（128k コンテキストの 2.14%）

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

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

できること

ツール一覧

ツール（20）

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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`.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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).

入力スキーマ

{
  "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.

入力スキーマ

{
  "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`.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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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