Skip to main content
Glama
bguillow-rgb

Perfume Picks MCP Server

Related Servers

Alternatives to Perfume Picks MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      MCP server for parfica.com, a Ukrainian-first fragrance encyclopedia. Enables AI assistants to search fragrances, get detailed profiles, and find cheaper similar alternatives via note overlap.
      3
      27 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      MCP server that lets AI assistants query the Noteboxd fragrance encyclopedia for fragrances, notes, accords, brands, perfumers, reviews, and charts. Enables natural-language queries like comparisons, recommendations, and review digests.
      19
      26 npm
      1
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Read-only MCP server for finding Discord messages. It enables searching guild messages, locating messages from jump URLs, and reading context around results.
      7
      1
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Read-only X/Twitter research MCP server allowing AI assistants to search viral content, analyze accounts, track trends, and discover niche leaders without requiring the official X API.
      48
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Read-only MCP server for Discord that lists guilds, channels, and reads or searches messages using a self-bot account via discord.py-self.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Official MCP server for PeptideCalculatorOnline.com. Enables AI assistants (Claude/Cursor) to accurately calculate peptide reconstitution, molarity, and U-100 syringe units for research compounds.
      3
      13 npm
      MIT

    TDQS

    A4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool targets a distinct read-only fragrance discovery step: lookup, search, dupes, similar scents, recommendations, comparison, trends, and a now-oriented suggestion. There is minor overlap between get_recommendations and what_to_wear_tonight, and between find_similar and find_dupes, but the descriptions clarify their different inputs and intents.

    Naming Consistency4/5

    Most tool names follow a readable snake_case action_noun pattern such as get_fragrance, search_fragrances, and compare_fragrances. The main deviations are trending_fragrances and what_to_wear_tonight, which are still understandable but break the consistent verb-first pattern.

    Tool Count5/5

    Eight tools is a well-balanced size for a fragrance discovery server. Each tool covers a meaningful step in the experience—exploring, understanding, comparing, recommending, and discovering—without unnecessary duplication.

    Completeness5/5

    The tool set covers the core discovery loop thoroughly: search the catalog, fetch details, compare fragrances, find alternatives, get personalized recommendations, check trends, and get a contextual suggestion. Any omitted write-oriented operations are outside the server's apparent read-only scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues