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Perfume Picks

REMOTE · MCP.PERFUMEPICKS.APP · 2 COMPONENTS

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

0 this week 86 Trust /100

Last scanned (10 hours ago)

Scores higher than 93% of remote servers

Reachable. Last reached 5 Nov 2026.

Category E-commerce

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability81
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 764 tokens (~95/item across 8 items; 8 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities40
  • Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 16 Oct 26 0
    • Stability: 0.97 → pass security
    • Tool “search_fragrances” rewrote its description, which is the text the model reads security
    • Server version: 1.0.0 → 1.0.5 functional
  • 15 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 87. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 80. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 6 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 4 Oct 26 81
    • Tool “find_dupes” rewrote its description, which is the text the model reads security
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://mcp.perfumepicks.app/?src=registry

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.perfumepicks.app CN=YE2,O=Let's Encrypt,C=US 21 Oct 2026 19 Jan 2027 ECDSA 256 ECDSA-SHA384 5ee1945e5a61acba8b7c2c333b2ee2e949e
SANs: mcp.perfumepicks.app
CN=YE2,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.perfumepicks.app. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
perfumepicks.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains; preload

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.perfumepicks.app/?src=registry Verified 200
http (plaintext) http://mcp.perfumepicks.app/?src=registry HTTPS enforced 301 https://mcp.perfumepicks.app/?src=registry
MCP tools · 8 exposed · ~764 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
compare_fragrances ~66

Side-by-side comparison: note pyramids, shared and distinct accords, longevity/sillage/compliment scores, concentration, and price difference.

NameTypeReqDescription
fragrance_astringyesFirst fragrance — slug or name
fragrance_bstringyesSecond fragrance — slug or name

No output schema declared.

No examples provided.

find_dupes ~63

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.

NameTypeReqDescription
fragrancestringyesFragrance slug or name to find dupes for

No output schema declared.

No examples provided.

find_similar ~58

Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.

NameTypeReqDescription
fragrancestringyesFragrance slug or name
limitinteger–Max results (default 5)

No output schema declared.

No examples provided.

get_fragrance ~71

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'.

NameTypeReqDescription
slug_or_namestringyesFragrance slug or name

No output schema declared.

No examples provided.

get_recommendations ~138

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.

NameTypeReqDescription
budgetnumber–Max MSRP in USD
genderstring–Marketed gender category of the fragrance; omit to include all
limitinteger–Max results (default 5)
occasionstring–What the fragrance is for
preferencesarrayyesNotes or accords the wearer enjoys, e.g. ['vanilla','amber','rose']

No output schema declared.

No examples provided.

search_fragrances ~171

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.

NameTypeReqDescription
brandstring–Brand name filter, e.g. 'Dior'
fragrance_familystring–Family filter, e.g. 'woody', 'amber', 'fresh'
genderstring–Marketed gender category of the fragrance; omit to include all
limitinteger–Max results (default 10, max 10)
price_maxnumber–Maximum MSRP in USD
price_minnumber–Minimum MSRP in USD
querystring–Free-text search: fragrance or brand name

No output schema declared.

No examples provided.

trending_fragrances ~68

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.

NameTypeReqDescription
limitinteger–Max results (default 10, max 10)

No output schema declared.

No examples provided.

what_to_wear_tonight ~129

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.

NameTypeReqDescription
genderstring–Marketed gender category of the fragrance; omit to include all
moodstring–How you're feeling
occasionstring–The setting
seasonstring–Season to weight the pick toward — heavier, warmer scents in winter; fresher in summer

No output schema declared.

No examples provided.

Install

How do I install the Perfume Picks MCP server?

Perfume Picks is a hosted endpoint at https://mcp.perfumepicks.app/?src=registry, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.perfumepicks.app

# add to Claude Code
claude mcp add --transport http bguillow-rgb-perfume-picks 'https://mcp.perfumepicks.app/?src=registry'
Common questions

What is the Perfume Picks MCP server?

Perfume Picks is an MCP server listed in the public MCP registry as io.github.bguillow-rgb/perfume-picks. Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data. This page covers its hosted endpoint (https://mcp.perfumepicks.app/?src=registry).

Is the Perfume Picks MCP server safe to use?

Perfume Picks scores 86 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Perfume Picks MCP server expose?

Perfume Picks exposes 8 tools: search_fragrances, get_fragrance, find_dupes, find_similar, get_recommendations, and 3 more. Their descriptions and schemas cost roughly 764 tokens of context every time the server is loaded.

Does the Perfume Picks MCP server require authentication?

No. We connected to Perfume Picks without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Perfume Picks MCP server still maintained?

Perfume Picks is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.