{"schema_version":1,"snapshot_id":"bfb936f5ceae4a7427f93961201723779c3021545a3c4222395e8678314c3e55","generated_at":"2026-10-17T21:51:24.907033+00:00","notice":"Potential GTM matches from directory metadata and model triage. Discovered does not mean vendor-verified or tested. Pending records remain under review; pricing and install details require primary sources.","canonical_url":"https://gtmmcps.com/discoveries/e3744b561b16162b685b","record":{"id":"e3744b561b16162b685b","name":"Caffeinated Wardrobe","aliases":["Caffeinated Wardrobe"],"description":"Caffeinated Wardrobe is like an API for your closet. This MCP server brings programmatic wardrobe management to any MCP-compatible AI client - track clothing items, compose (and remember) outfits, analyze wear patterns, and get AI-powered styling recommendations. Combine with filesystem, calendar, or browser MCP servers for context-aware outfit suggestions based on your schedule, weather, or recent purchases.","repository_url":null,"sources":[{"source_id":"smithery","url":"https://api.smithery.ai/servers","observed_at":"2026-10-17T21:40:22.481400+00:00","source_record_id":"80361f9f-8977-4d4a-b7cf-aa80dfe7effa","source_record_name":"michelle/caffeinated-wardrobe"}],"relevance_signals":["calendar"],"classification":{"label":"pending","method":"not-yet-classified"},"catalog_ids":[],"verification_status":"discovered","vendor_ownership":"not-verified","execution_tested":false,"pricing_status":"not-verified","documentation_status":"not-verified"}}