AI HomeDesign MCP

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
92%
Vollständigkeit des Schemas
70%
Qualität der Benennung
91%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (4)

  • LOWTool 'interior_design' description lacks action verbin interior_design
  • LOWTool 'change_wall' description lacks action verbin change_wall
  • LOWTool 'change_floor' description lacks action verbin change_floor
  • LOWTool 'change_ceiling' description lacks action verbin change_ceiling

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~2,737Tokens (Tool-Definitionen)
~909 BTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.14% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (20)

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🟢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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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`.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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`.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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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