MCP server

Perfume Picks

io.github.bguillow-rgb/perfume-picks

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 1,559 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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 perfume-picks https://mcp.perfumepicks.app/?src=registry

Claude Desktop

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

Codex (config.toml)

[mcp_servers.perfume-picks]
url = "https://mcp.perfumepicks.app/?src=registry"

Gemini CLI

{"mcpServers":{"perfume-picks":{"httpUrl":"https://mcp.perfumepicks.app/?src=registry"}}}

Cursor

{"mcpServers":{"perfume-picks":{"url":"https://mcp.perfumepicks.app/?src=registry"}}}

VS Code

{"servers":{"perfume-picks":{"type":"http","url":"https://mcp.perfumepicks.app/?src=registry"}}}

Antigravity

agy mcp add perfume-picks https://mcp.perfumepicks.app/?src=registry

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":"perfume-picks","server_url":"https://mcp.perfumepicks.app/?src=registry","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"perfume-picks","server_url":"https://mcp.perfumepicks.app/?src=registry"}

Tools

• compare_fragrances ~157 tokens
  Side-by-side comparison: note pyramids, shared and distinct accords, longevity/sillage/compliment scores, concentration, and price difference.
• find_dupes ~137 tokens
  Curated dupes for a fragrance: cheaper scents documented to smell like the original, with match percentage and price comparison. Use for 'what smells like X but costs less' questions.
• find_similar ~139 tokens
  Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.
• get_fragrance ~143 tokens
  Detailed record for one fragrance: full note pyramid (top/heart/base), accords, concentration, community longevity/sillage/compliment scores, and MSRP. Accepts a Perfume Picks slug or a name like 'Bleu de Chanel'.
• get_recommendations ~281 tokens
  Personalized fragrance picks from note/accord preferences (e.g. 'vanilla', 'oud', 'citrus'), a budget in USD, an occasion ('office', 'date night', 'gift', 'signature scent'), and gender presentation.
• search_fragrances ~314 tokens
  Full-text search across 10,000+ fragrances in the Perfume Picks database. Filter by brand, fragrance family, gender, and MSRP (USD). Returns note pyramids, accords, and community wear scores with source attribution.
• trending_fragrances ~138 tokens
  Fragrances Perfume Picks users are adding to their wardrobes most over the last 30 days (falls back to catalog popularity when live activity data is unavailable). The method used is labeled in the response.
• what_to_wear_tonight ~250 tokens
  A fragrance suggestion for right now, based on mood, occasion (e.g. 'date', 'office tomorrow', 'night out', 'cozy evening in'), and season — scored with Perfume Picks' community compliment, office-safety, and versatility data.

Browse

• GitHub tools
• Presentations
• GitHub and code hosting
• Databases

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