ScentVerdict
com.scentverdict/fragrances · v2.0.0
Fragrance catalogue with verdicts, similarity scores, scent profiles, drydowns and local prices.
MCPremoteno credentialsKnowledge & docsE-commerce
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 96/100
What it does: 6 tools · 6 read, 0 write · Knowledge & docs, E-commerce
Test call recommend_fragrances: worked (1,603 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +6
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://scentverdict.com/mcpTools
6 tools listed at last check
get_scent_profileGet how a fragrance develops over the wear: opening, heart and base phases, the notes in each, and how many hours each note persists on skin. Use this when the user asks how something evolves, how long it lasts, how it changes through the day, or what the drydown is like. The per-note hours are valusearch_fragrancesResolve a fragrance name to catalogue entries. Call this FIRST whenever a name is partial, misspelled, or could mean more than one product, then pass the returned slug to another tool. Many fragrances share a name across concentrations and launch years, and flankers hide behind qualifiers, so guessifind_similar_fragrancesFind fragrances similar to one the user already knows, optionally steered in a direction such as cheaper, fresher, longer lasting or less sweet. Use this whenever the user names a fragrance and wants something like it: a cheaper alternative, a budget version, something that smells similar, or a giftcompare_fragrancesCompare exactly two fragrances side by side using ScentVerdict's own note data: which notes they share, which differ, both verdicts, and both prices for the user's country. Use this whenever the user is choosing between two named fragrances, or asks which of two is better, or how two differ. Use finrecommend_fragrancesRecommend fragrances matching what the user describes: season, occasion, budget, strength, staying power and notes they like. Use this when the user wants a suggestion but names no fragrance to work from - for example something for winter, for the office, or under a budget. Season, occasion and integet_fragranceLook up one fragrance in ScentVerdict's catalogue: its notes, ScentVerdict's own verdict, concentration, launch year, and the lowest current price for a full-size bottle for the user's country, in the shop's own currency. Use this whenever the user names a fragrance and asks what it is, what it smel
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Markdown for your README
[](https://clawy.uk/mcp/s/com.scentverdict/fragrances)