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bguillow-rgb/perfume-picks-mcp

bguillow-rgb/perfume-picks-mcp

MCP server for the Perfume Picks fragrance database — read-only catalog, dupes, and wear data for AI assistants
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add perfume-picks-mcp -- npx -y perfume-picks-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · bguillow-rgb/perfume-picks-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 bguillow-rgb/perfume-picks-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Perfume Picks MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Query the Perfume Picks fragrance database from Claude, or any MCP-compatible AI client. Read-only access to 13,000+ fragrances with full note pyramids, accords, curated dupes, and community wear data.
Perfume Picks is the Fragrance DNA and collection journal for iOS — get it on the App Store.
Tools
| Tool | What it does |
|---|---|
| search_fragrances | Full-text catalog search with brand, family, gender, and MSRP filters |
| get_fragrance | Full record for one scent (by slug or name): note pyramid, accords, community scores |
| find_dupes | Curated cheaper smell-alikes with match percentage — "what smells like X without the price tag" |
| find_similar | Most-similar fragrances from a precomputed similarity ranking |
| get_recommendations | Picks from note/accord preferences + budget + occasion + gender |
| compare_fragrances | Side-by-side: notes, shared/distinct accords, scores, price delta |
| trending_fragrances | What Perfume Picks users are adding to their wardrobes right now |
| what_to_wear_tonight | A scent for right now — date-night picks use community compliment data, office picks use office-safety scores |
Every response includes source attribution, a citation-ready summary line, links, and data freshness dates. All scoring is deterministic — no AI calls happen inside the server. All tools are annotated read-only/idempotent.
Install (Claude Desktop)
Requires Node.js 18+.
Add to your claude_desktop_config.json (Claude Desktop → Settings → Developer → Edit Config):
Restart Claude Desktop. No API key or configuration needed — the server ships with public read-only access.
Configuration (optional)
Environment variables override the defaults (explicit env vars only — this package never reads .env files):
| Variable | Purpose |
|---|---|
| SUPABASE_URL | Override the database URL |
| SUPABASE_SERVICE_ROLE_KEY | Internal use only — unlocks live 30-day wardrobe-add trending. Never distribute this key. |
Without the service key, trending_fragrances falls back to catalog popularity and labels the method in its response.
Remote endpoint (no install)
Streamable HTTP for web agents and MCP clients that take a URL:
Also listed on Smithery and the official MCP registry as io.github.bguillow-rgb/perfume-picks.
Example agent requests
Questions an agent can answer with these tools:
- *"What smells like Baccarat Rouge 540 without the price tag?"* → find_dupes (curated dupes with match %, e.g. Lattafa Ana Abiyedh Rouge, 90%)
- *"Recommend a fragrance for a summer wedding."* → get_recommendations with occasion: "wedding"
- *"What fragrances have bergamot, vanilla, and amber?"* → get_recommendations with those notes as preferences
- *"What perfume is similar to Bleu de Chanel?"* → find_similar
- *"What should I wear on a date tonight?"* → what_to_wear_tonight (scored by community compliment data)
来源
awesome · https://github.com/bguillow-rgb/perfume-picks-mcp
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