Fragrance & Perfume MCP (Noteboxd) MCP Server

by noteboxd Your server? Claim it

answering

Fragrance & Perfume MCP (Noteboxd) is answering right now. Last checked 10 min ago. 63 installs a week from npm. It exposes 27 tools. Last commit 31 Jul 2026.

Fragrance & perfume MCP: search fragrances, notes, accords, brands, perfumers, reviews & charts.

Installs per day peak 16 · avg 5 · +162% w/w

a month agotoday

Uptime history 91 days of history · worst day 0%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

122 ms

Response time

average over 24h

Installs / week

npm and PyPI

What changed 76

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 17 October 2026. No other catalogue keeps this.

28 Oct 5 tools changed the parameters they ask for fragrance_compare, fragrance_get, fragrance_get_reviews and 2 more

27 Oct 27 tools changed the parameters they ask for28 times that day ai_collection, ai_recommend, ai_wear_today and 24 more

27 Oct 6 tool descriptions were rewritten user_get_cabinet, user_get_collections, user_get_reviews and 3 more

21 Oct 7 tools changed the parameters they ask for fragrance_compare, fragrance_get, fragrance_get_reviews and 4 more

21 Oct 3 tool descriptions were rewritten fragrance_get_wearing_stats, fragrance_search, search

17 Oct 27 tools changed the parameters they ask for ai_collection, ai_recommend, ai_wear_today and 24 more

and 1 more, back to 17 October 2026

Nothing serious here today

Today is the operative word: we check Fragrance & Perfume MCP (Noteboxd) every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mcp --transport http https://mcp.noteboxd.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://mcp.noteboxd.com/mcp

~/.codex/config.toml

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

.cursor/mcp.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.noteboxd.com/mcp"
    }
  }
}

.vscode/mcp.json

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

Available tools 27

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

user

user_get_cabinet

Get your fragrance cabinet — fragrances you own, have tried, or finished. Free for any signed-in account. See also: `fragrance_get` for full details on any fragrance in your cabinet · `fragrance_similar` to find alternatives to your favourites · `user_get_wishlist` for fragrances you want to try.

user_get_collections

Get your collections (fragrance lists). Optionally pass a collectionId to see its items. Free for any signed-in account. See also: `fragrance_get` for full details on any fragrance in a collection.

user_get_reviews

Get reviews you've written, or reviews you found helpful. Free for any signed-in account. See also: `fragrance_get_reviews` for community reviews on a specific fragrance.

user_get_wearing_history

Get your wearing check-in history over time. Free for any signed-in account. See also: `fragrance_get_wearing_stats` for aggregate community wearing data on a specific fragrance.

user_get_wishlist

Get your fragrance wishlist. Free for any signed-in account. See also: `fragrance_get` for full details on any wishlist fragrance · `user_get_cabinet` for fragrances you already own.

user_taste_compare

Compare your taste with another user — compatibility score, shared and divergent notes/accords/families, and an optional AI overview. Free for any signed-in account; the AI overview needs Pro and is left out otherwise. See also: `user_taste_public` for a user's top preferences · `user_taste_summary` for your own summary.

user_taste_public

Get a user's public taste profile — their top notes, accords, and families derived from their collection and reviews. No LLM call, deterministic. See also: `user_taste_compare` for compatibility between two users.

user_taste_summary

Get your AI-generated taste profile summary — a natural-language description of your fragrance preferences based on your cabinet, reviews, and likes. Requires Pro. See also: `user_taste_public` for the deterministic breakdown · `user_taste_compare` for compatibility.

fragrance

fragrance_compare

Compare two fragrances head-to-head — shared vs. distinct notes/accords/families, community and critic scores, audience, and an AI-written synthesis (shared character, differences, who each suits). Public, cached 7 days per pair. See also: `fragrance_get` for full profiles · `fragrance_similar` for alternatives.

fragrance_get

Get the full profile for a single fragrance by UUID or slug (e.g. 'tom-ford/oud-wood'). Returns notes pyramid, accords, FOTW classification, perfumer, community score, and more. See also: `fragrance_similar` for fragrances with similar accord profiles · `fragrance_get_reviews` for community reviews · `fragrance_get_wearing_stats` for when people wear it.

fragrance_get_reviews

Get paginated community reviews for a fragrance. Sort by helpfulness, recency, or score. See also: `fragrance_get` for the fragrance's full profile · `fragrance_get_wearing_stats` for aggregate wearing data.

fragrance_get_wearing_stats

Community wearing counts for a fragrance. Free tier sees the last 30 days; Pro also sees today and the last 7 days. See also: `fragrance_get` for full profile · `fragrance_similar` for alternatives with similar profiles.

fragrance_review_digest

Get a concise AI-generated digest summarizing a fragrance's community reviews — key themes, consensus, and standout opinions. Public, cached per fragrance. See also: `fragrance_get_reviews` for individual reviews · `fragrance_get` for full profile.

fragrance_search

Search and filter the Noteboxd fragrance encyclopedia. Requires a query or at least one filter — the full catalogue cannot be listed. Tip: The `q` parameter searches fragrance names OR brand names independently. For best results with a known brand, use the `brand` slug filter instead of including the brand name in `q`. Examples: - "Find woody fragrances above 8/10" → accord='woody' + minScore=8 - "Creed fragrances" → brand='creed' - "Bleu de Chanel" → q='Bleu' + brand='chanel' See also: `fragrance_get` for a single fragrance's full profile · `search` for universal cross-entity lookup (brands, notes, perfumers, collections in one call).

fragrance_similar

Find fragrances with similar accord profiles to a given fragrance. Returns ranked alternatives based on shared accords and character. See also: `fragrance_get` for the source fragrance's full profile · `fragrance_search` with note/accord filters for manual exploration.

brand

brand_get

Get a brand profile (name, country, founded, description) and its top fragrances. Use the brand slug, e.g. 'maison-francis-kurkdjian'. See also: `fragrance_search` with the `brand` filter to get the full paginated catalogue for this brand · `perfumer_get` if the brand has a known house perfumer.

chart

chart_get

Get a specific chart leaderboard by slug (e.g. 'top-rated', 'trending', 'top-rated-brand-chanel'). Returns ranked fragrances with scores and movement. See also: `charts_list` to see all available charts · `fragrance_get` for the full profile of any fragrance on the chart.

charts

charts_list

List all available Noteboxd chart rankings (e.g. top-rated, trending, top by brand). Returns chart names and summary stats. See also: `chart_get` with a chart slug to see the full leaderboard · `trending` for a quick snapshot of what's hot.

collection

ai_collection

Generate a curated fragrance collection from a natural-language prompt (e.g. 'office-safe designer scents under $100', 'niche oud masterpieces'). Returns 5–25 grounded picks with rationale. Requires Pro. See also: `ai_recommend` for personalized picks · `fragrance_search` for manual filtering.

note

note_explore

Get a note's profile (family, description, origin, extraction method) and top fragrances featuring it, sorted by community score. Use the note slug, e.g. 'oud', 'bergamot', 'iris'. See also: `notes_list` to browse all notes by family/popularity · `fragrance_search` with the `note` filter to find fragrances featuring this note.

noteboxd

noteboxd_open

Open the Noteboxd app UI in ChatGPT. Call with no arguments to show the home screen (trending fragrances), with `query` to run a fragrance search inside the app, or with `fragrance` (slug or UUID) to show a fragrance profile. The app renders the returned result; keep the chat reply to one short line.

notes

notes_list

Browse fragrance notes — filter by family (e.g. 'woody', 'floral', 'citrus') and sort by popularity or name. Returns note names, families, colours, and fragrance counts. See also: `note_explore` for a single note's full profile and top fragrances · `fragrance_search` with the `note` filter to find fragrances featuring a specific note.

perfumer

perfumer_get

Get a perfumer's profile (bio, country, house affiliation) and their top fragrances by community score. See also: `fragrance_search` to find more fragrances by this perfumer · `brand_get` if you want the brand they work for.

recommend

ai_recommend

Get personalized fragrance recommendations based on your taste profile. Optional natural-language prompt to guide results (e.g. 'something fresh for summer'). Requires Pro. See also: `ai_wear_today` for what to wear right now · `user_get_cabinet` for your collection.

search

Universal search across all Noteboxd entities — fragrances, brands, notes, perfumers, and collections — in a single call. Best for quick lookups and vague queries. Examples: - "Jacques Polge" → returns the perfumer - "oud" → returns the note, plus top oud fragrances - "Bleu" → returns Bleu de Chanel, Bleu de Dior, etc. See also: `fragrance_search` for advanced fragrance-only filtering (by note, score, concentration) · `trending` for what's popular right now.

trending

trending

What's trending on Noteboxd right now — top search queries, highest-rated fragrances, and most popular notes. No parameters needed. See also: `charts_list` for full ranking leaderboards · `fragrance_search` to explore specific categories.

wear

ai_wear_today

What should I wear today? Picks from your owned cabinet (CURRENT status only) based on optional prompt/weather. Returns nothing if your cabinet is empty. Requires Pro. See also: `ai_recommend` for discovery beyond your cabinet · `user_get_cabinet` for your full collection.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.noteboxd.com/mcp	streamable-http	answering	112 ms	10 min ago

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Fragrance & Perfume MCP (Noteboxd) — questions

Answers built from our own checks of this server.

What can Fragrance & Perfume MCP (Noteboxd) do?

It exposes 27 tools, read directly from the server on our last check. Among them: ai_collection, ai_recommend, ai_wear_today, brand_get, chart_get, charts_list and 21 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Fragrance & Perfume MCP (Noteboxd) mostly used for?

Its tools cluster around user and fragrance. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Fragrance & Perfume MCP (Noteboxd) working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 122 ms. The bar chart above shows every period we have measured.

How do I connect Fragrance & Perfume MCP (Noteboxd)?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Fragrance & Perfume MCP (Noteboxd) need an API key?

No. Fragrance & Perfume MCP (Noteboxd) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 27 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Fragrance & Perfume MCP (Noteboxd)?

It answers our handshake in 122 ms on average, which is faster than 89% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use Fragrance & Perfume MCP (Noteboxd)?

The npm package @noteboxd/mcp was installed 63 times in the last week. Week over week that is +162%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Fragrance & Perfume MCP (Noteboxd) open source?

The code is open source: it is published under the MIT licence, written in TypeScript, 1 stars on GitHub and 2 open issues. The licence covers the code in the repository, not the hosted service at mcp.noteboxd.com, which runs on its operator's own terms.