10 actions in 3 pieces of software · ranked by words, meaning and measured trust · 788 ms
- 1Perfume Picks MCP Serverfound in code, not yet checkedno passport yet
- find_similar
Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.
- get_fragrance
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'.
- get_recommendations
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.
- search_fragrances
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.
- find_dupes
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_similar
- 2Blue Perfumery MCP Serverfound in code, not yet checkedno passport yet
- get_perfume_by_id
Get a specific perfume by its ID
- get_purchase_link
Get the Shopier purchase link for a specific perfume
- get_perfume_by_id
- 3Fragrance & Perfume MCP (Noteboxd)found in code, not yet checkedno passport yet
- batch_get_fragrances
Fetch up to 50 fragrances by id in a single call.
- enrich_fragrance
Fetch a fragrance with its notes, accords, recent reviews, and similar fragrances in one call.
- list_accords
List all accord families.
- batch_get_fragrances
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.