Leaderboard/Caffeinated Wardrobe
MCP ServerScored via MCP protocol probing: initialize handshake, tools/list conformance, and ping + tool invocation performance.

Caffeinated Wardrobe

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.

54/100
Operational Score
Score Breakdown
Availability30/30
Conformance10/30
Performance14/40
Key Metrics
Uptime 30d
100.0%
P95 Latency
471.1ms
Conformance
Fail
Trend
Stable
What's Being Tested
Availability
HTTP health check to the service endpoint
Responded with HTTP 401 in 207ms
ConformanceNot tested
MCP initialize handshake + tools/list
Performance
MCP ping + zero-arg tool invocation benchmarking
P95 latency: 471ms, task completion: 0%
Recent Probe Results
TimestampStatusLatencyConformance
Apr 5, 2026success207msPass
Apr 5, 2026success592.8msPass
Apr 5, 2026success191.2msPass
Apr 5, 2026success283.6msPass
Apr 4, 2026success190.1msPass
Apr 4, 2026success438.3msPass
Apr 4, 2026success180.8msPass
Apr 4, 2026success416.8msPass
Apr 4, 2026success193msPass
Apr 4, 2026success323.4msPass
Source Registries
smithery
First Seen
Mar 26, 2026
Last Seen
Apr 4, 2026
Last Probed
Apr 5, 2026
Caffeinated Wardrobe — Chiark Agent Quality Index