Skip to main content
Glama
AleWWH1104

Skincare Recommendation MCP Server

by AleWWH1104

Related Servers

Alternatives to Skincare Recommendation MCP Server

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      D
      maintenance
      An ingredient-based recommendation engine that identifies similar products using TF-IDF vectorization and scans ingredient lists for potential irritants. It enables users to perform NLP-based product matching and check for skin-sensitivity red flags within Claude.
      4
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to search beauty products from Korean catalogs (Olive Young, Daiso, e-commerce) and analyze personal skincare routines and ingredient compositions via BeauticsLab.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      SkinKnowledgeBase provides source-backed skincare question answering and product comparison context for AI assistants through a public, read-only MCP endpoint.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables querying cosmetics ingredient data across EU, China, and US regulations, running 65-rule formula risk reviews, multi-region compliance checks, and retrieving synthetic biology company metadata via natural language.
      -

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation4/5

    Most tools map to clearly distinct tasks: catalog search, product details, alternatives, conflict checking, and full recommendations. The only notable ambiguity is between search_products and recommend_products, since the latter includes the former's filtering behavior plus conflict flagging, but the descriptions make the distinction recoverable.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: search_products, get_product_details, find_alternatives, check_ingredient_conflicts, recommend_products. No mixed naming conventions or vague verbs.

    Tool Count5/5

    Five tools is a well-scoped size for a specialized skincare recommendation server. Each tool addresses a distinct step in the workflow without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full recommendation workflow: searching/filtering, retrieving details, finding alternatives, checking ingredient conflicts, and generating end-to-end recommendations. No obvious dead ends or missing operations for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues