Connect your AI assistant to Noteboxd's fragrance encyclopedia — community ratings, perfumer profiles, and personalized recommendations via the Model Context Protocol.
Search and filter the fragrance encyclopedia by name, brand, notes, accords, decade, concentration, gender, and score.
Get a single fragrance's full profile — notes pyramid, accords, reviews summary, ratings distribution, and metadata.
Retrieve community reviews for a fragrance, with pagination and sorting options.
Wearing statistics — longevity, sillage, seasonal preferences, and occasion breakdowns from community data.
Full brand profile — history, top fragrances, average score, and house perfumers.
Perfumer profile — biography, notable creations, brand collaborations, and signature style.
Explore a fragrance note — description, family, top fragrances featuring it, and related notes.
Universal search across all entities — fragrances, brands, notes, perfumers, and collections in one call.
What's trending on Noteboxd right now — most discussed, highest-rated new releases, and community buzz.
Find fragrances similar to a given one based on note profile, accords, and community comparisons.
List available community charts — top rated overall, by category, seasonal picks, and more.
Get a specific chart's entries with rankings, scores, and movement data.
Browse all fragrance notes organized by family — citrus, floral, woody, ambery, and more.
Your fragrance cabinet — fragrances you own, have tried, or finished.
Your wishlist — fragrances you want to try or purchase.
Your curated collections — themed lists you've created or saved.
Your review history — all ratings and reviews you've written.
Your wearing log — what you wore and when, with seasonal patterns.
"Find me woody fragrances rated above 8/10 from the 2010s"
"What's similar to Bleu de Chanel but more unique?"
"Recommend a summer fragrance from my cabinet"
"Who created Santal 33 and what else have they made?"
"What's trending in niche fragrances right now?"
https://mcp.noteboxd.com/mcp