claude mcp add perfume-picks-mcp -- npx -y perfume-picks-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · bguillow-rgb/perfume-picks-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository bguillow-rgb/perfume-picks-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
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)