K-Beauty
This K-Beauty MCP server provides specialized knowledge about Korean skincare and cosmetics through curated data on popular brands, ingredients, and skincare routines. Built with Python using the MCP framework and featuring structured data modules for brands like COSRX and Laneige, ingredient information including benefits and skin type compatibility, and multi-step Korean skincare routines for different skin concerns, it offers tools for product recommendations, ingredient analysis, and personalized routine suggestions. The implementation includes comprehensive skincare data covering anti-aging, acne-prone, and basic routines with step-by-step guidance, making it valuable for beauty enthusiasts seeking Korean skincare advice, skincare professionals building recommendation systems, and e-commerce applications requiring specialized K-Beauty product knowledge.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ecommerce
- Source
- PulseMCP
- Repository
- github.com/alexai-mcp/k-beauty-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve K-Beauty from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.