126k+ fragrances over MCP and REST
Longevity, sillage, seasonality, and sentiment for thousands of perfumes. One structured API, wired into Cursor, Claude, or your own app.
Full profile for Teriaq Intense
Orto Parisi · 1,842 records
Every filter and recommendation draws on structured notes, accords, perfumers, and community similarity. Real signals, not vibes.
0k+
Fragrances
0+
Brands
0+
Perfumers
0
Notes
0+
Accords
0
MCP tools
Drops into any MCP client
Community knowledge, normalized into metrics your agents and apps can trust.
Longevity, sillage, seasonality, gender lean, sentiment, accords, and similar fragrances. One structured response, no scraping.
Drop into Cursor or Claude Desktop with one config block.
Every metric is 0 to 1 with an n_records confidence count. No raw vote dumps.
Call it from an agent or hit the endpoints directly. You get the same normalized data either way.
{
"mcpServers": {
"fragrance": {
"url": "https://api.scentrev.com/mcp/",
"headers": {
"Authorization": "Bearer frag_live_..."
}
}
}
}Search, filter, and pull structured profiles from community data.
search_fragrances
Free-text search across the catalog
search_fragrances_filtered
Filter by brand, season, notes, rating
get_fragrance_profile
Every metric for one fragrance
get_performance
Longevity and sillage scores
get_appreciation
Community sentiment and love score
get_reminds_of
Closest-smelling alternatives
get_wear_summary
When and where it shines
get_identity
Gender lean and character
get_note_pyramid
Top, heart, and base notes
get_accords
Dominant accords, weighted
Sign up and generate a key in the dashboard. No credit card.
Paste one block into Cursor or Claude Desktop. That is the whole setup.
Your agent now answers fragrance questions with structured, sourced data.
Everything you need to know before wiring scentrev-mcp into your stack. Still stuck? The docs go deeper.
Sign up, generate a key, connect your MCP client. No credit card, no quotas.