MCP server

ScentVerdict Official

com.scentverdict/fragrances

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Fragrance catalogue with verdicts, similarity scores, scent profiles, drydowns and local prices.

Website

At a glance

Type

MCP server

Publisher

scentverdict.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 2,244 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http fragrances https://scentverdict.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.fragrances]
url = "https://scentverdict.com/mcp"

Gemini CLI

{"mcpServers":{"fragrances":{"httpUrl":"https://scentverdict.com/mcp"}}}

Cursor

{"mcpServers":{"fragrances":{"url":"https://scentverdict.com/mcp"}}}

VS Code

{"servers":{"fragrances":{"type":"http","url":"https://scentverdict.com/mcp"}}}

Antigravity

agy mcp add fragrances https://scentverdict.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"fragrances","server_url":"https://scentverdict.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"fragrances","server_url":"https://scentverdict.com/mcp"}

Tools

• compare_fragrances ~284 tokens
  Compare 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 fin
• find_similar_fragrances ~484 tokens
  Find 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 gift
• get_fragrance ~319 tokens
  Look up one perfume or 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, w
• get_scent_profile ~203 tokens
  Get 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 valu
• recommend_fragrances ~695 tokens
  Recommend 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 inte
• search_fragrances ~259 tokens
  Resolve a perfume or 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

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