MCP Server

Caffeinated Wardrobe AI Integration

Turn Caffeinated Wardrobe into an execution layer for Pickaxe so your AI can automate scheduling workflows. Turn each response into measurable progress.

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Caffeinated Wardrobe

Capabilities

20 capabilities

1 / 4

list_tags

Get all unique tags used by the current user for their items.

Type: boolean

create_item

Create a new wardrobe item. For brands, colors, and stores, you can provide either the name or ID: - brand: "Nike" (auto-creates if not found) OR brand_id: UUID - color: "Blue" (auto-creates if not found) OR color_id: UUID - store: "Amazon" (auto-creates if not found) OR store_id: UUID You can also provide image_urls to upload images from publicly accessible URLs. Images will be uploaded after the item is created. If any image URLs fail to upload, the item will still be created successfully. No need to check if brands/colors/stores exist first - the system handles this automatically.

Type: string

list_items

Get a list of all wardrobe items with reduced details for MCP efficiency.

Type: number

get_item_details

Get details of a specific wardrobe item.

Type: string

update_existing_item

Update an existing wardrobe item. For brands, colors, and stores, you can provide either the name or ID: - brand: "Nike" (auto-creates if not found) OR brand_id: UUID - color: "Blue" (auto-creates if not found) OR color_id: UUID - store: "Amazon" (auto-creates if not found) OR store_id: UUID You can also provide image_urls to upload images from publicly accessible URLs. Images will be uploaded after the item is updated. If any image URLs fail to upload, the item will still be updated successfully. No need to check if brands/colors/stores exist first - the system handles this automatically.

Type: string

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Frequently Asked Questions