Wardrobe
Every piece, catalogued.
124items
18 categories · 27 colours
Tops32
Bottoms21
Shoes18
Dresses14
Outerwear11
Item details
Every item stored with full metadata.
Wear history
Every wear, counted.
Cost per wear
Value as it earns its keep.
Wool coat$4.00
White tee$0.90
Trench$18.30
Loafers$6.10
↓ falling with every wear
Inactive items
What you never reach for.
8 resale candidates
Brand profile
The labels you actually own.
Aje24
COS19
Bassike15
Acler11
Matteau8
Size profile
How each label fits you.
Aje10relaxed
COSStrue
BassikeMoversized
Matteau2tailored
Fit profile
Your fit, learned.
TailoredRelaxed
CroppedLong
FittedOversized
Occasions
Where your clothes go.
Work42
Weekend31
Travel14
Dinner9
Events4
Outfit memory
Looks that worked, remembered.
Blazer · white tee · straight jeans · loafersworn 6× · rated 9/10
Trench · knit · wide trousers · bootsworn 4× · rated 8/10
Learned preferences
The rules you’ve told it.
✓Avoids high necklines
✓Nothing above the knee
✓No two statement pieces at once
✓Prefers sleeves rolled
✓Leans tonal neutrals
Embeddings
Style and visual vectors, so your wardrobe is searchable by meaning, not just keywords.
compatible with any embedding model
Auth & permissions
You own the data. Apps get scoped, row-level access, nothing more.
You (owner)full
Your stylist appreadwrite
Shareread
Resellread
Any AIread
Data APIs
Instant REST endpoints for every object.
items/v1/items
renders/v1/renders
metadata/v1/metadata
wears/v1/wears
outfits/v1/outfits
embeddings/v1/embeddings
preferences/v1/preferences
metrics/v1/metrics
MCP connectors
Connect your wardrobe to any LLM over the Model Context Protocol.
Claudeconnected
ChatGPTconnected
Geminiconnected
Any MCP clientsupported
mcp://modebase.co/wardrobe