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Perfume Picks MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SUPABASE_URLNoOverride the database URL
SUPABASE_SERVICE_ROLE_KEYNoInternal use only — unlocks live 30-day wardrobe-add trending. Never distribute this key.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_fragrancesA

Full-text search across 13,000+ fragrances in the Perfume Picks database. Filter by brand, fragrance family, gender, and MSRP (USD). Returns note pyramids, accords, and community wear scores with source attribution.

get_fragranceA

Detailed record for one fragrance: full note pyramid (top/heart/base), accords, concentration, community longevity/sillage/compliment scores, and MSRP. Accepts a Perfume Picks slug or a name like 'Bleu de Chanel'.

find_dupesA

Curated dupes for a fragrance — cheaper scents documented to smell like the original, with match percentage and price comparison. The answer to 'what smells like X without the price tag'.

find_similarA

Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.

get_recommendationsA

Personalized fragrance picks from note/accord preferences (e.g. 'vanilla', 'oud', 'citrus'), a budget in USD, an occasion ('office', 'date night', 'gift', 'signature scent'), and gender presentation.

compare_fragrancesA

Side-by-side comparison: note pyramids, shared and distinct accords, longevity/sillage/compliment scores, concentration, and price difference.

trending_fragrancesA

Fragrances Perfume Picks users are adding to their wardrobes most over the last 30 days (falls back to catalog popularity when live activity data is unavailable). The method used is labeled in the response.

what_to_wear_tonightA

A fragrance suggestion for right now, based on mood, occasion (e.g. 'date', 'office tomorrow', 'night out', 'cozy evening in'), and season — scored with Perfume Picks' community compliment, office-safety, and versatility data.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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