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.
Cross-referenced across 55 tracked directories
#8263
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
10/17/2025
First Seen
Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
Acacian
Credential isolation proxy for AI agents. Injects API keys at the network boundary so your agent never sees the raw credential. Supports domain allowlists, agent auth, policy enforcement, and audit logging.
...more59b9f352-8cdc-44d3-9dd9-db3bfa521880
No description available
grafana
🎖️ 🐍 🏠 ☁️ - Search dashboards, investigate incidents and query datasources in your Grafana instance