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ScentVerdict

R0· no sign-in

Fragrance catalogue with verdicts, similarity scores, scent profiles, drydowns and local prices.

v2.0.0 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality96strong
Trust82of 100
Uptime, 30 days96%
Latency p50390 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "fragrances": {
      "type": "http",
      "url": "https://scentverdict.com/mcp"
    }
  }
}
claude mcp add --transport http fragrances https://scentverdict.com/mcp
[mcp_servers.fragrances]
url = "https://scentverdict.com/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fragrances": {
      "type": "remote",
      "url": "https://scentverdict.com/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "fragrances": {
      "type": "http",
      "url": "https://scentverdict.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=fragrances&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vc2NlbnR2ZXJkaWN0LmNvbS9tY3AifQ%3D%3D"
}
{
  "servers": {
    "fragrances": {
      "type": "http",
      "url": "https://scentverdict.com/mcp"
    }
  }
}
{
  "mcpServers": {
    "fragrances": {
      "httpUrl": "https://scentverdict.com/mcp"
    }
  }
}
extensions:
  "fragrances":
    enabled: true
    name: "fragrances"
    type: streamable_http
    uri: "https://scentverdict.com/mcp"
    timeout: 300

Quality 96 / 100strong

protocol88 · weight 25
  • pass
    protocol.modernsupports 2026-07-28 (server/discover)
  • pass
    protocol.statelessanswers without a session
  • pass
    protocol.transportstreamable HTTP
  • warn
    protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene100 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations6 of 6 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 2,075 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changes4 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

6 tools, about 2,075 tokens to load them all · tool set f2d1a99186a8 · tools last changed 2026-10-02 · checked 2026-10-21 04:51 UTC

Tool changes

  • get_fragrancechangeddescription, input schema, output schema
    before

    Look up one fragrance in ScentVerdict's catalogue: its notes, ScentVerdict's own verdict, concentration, launch year, and the lowest current UK price for a full-size bottle. Use this whenever the user names a fragrance and asks what it is, what it smells like, what is in it, what it costs, or whether it is any good. Use search_fragrances first if the name is partial or could mean several variants. Use get_scent_profile instead when the question is about how it develops over the wear.

    after · 94% of words in common

    Look up one fragrance in ScentVerdict's catalogue: its notes, ScentVerdict's own verdict, concentration, launch year, and the lowest current price for a full-size bottle for the user's country, in the shop's own currency. Use this whenever the user names a fragrance and asks what it is, what it smells like, what is in it, what it costs, or whether it is any good. Use search_fragrances first if the name is partial or could mean several variants. Use get_scent_profile instead when the question is about how it develops over the wear.

  • recommend_fragranceschangeddescription, input schema, output schema
    before

    Recommend fragrances matching what the user describes: season, occasion, budget, strength, staying power and notes they like. Use this when the user wants a suggestion but names no fragrance to work from - for example something for winter, for the office, or under a budget. Season, occasion and intensity are scored numerically per fragrance in ScentVerdict, and the budget is applied against current UK bottle prices we hold, so the constraints are filtered rather than approximated. Each priced row carries its price, and the bottle size and price per millilitre wherever the retailer published a size. Pass as many of the constraints as the user gave; all are optional. Use find_similar_fragrances instead when they name a fragrance to anchor on.

    after · 91% of words in common

    Recommend fragrances matching what the user describes: season, occasion, budget, strength, staying power and notes they like. Use this when the user wants a suggestion but names no fragrance to work from - for example something for winter, for the office, or under a budget. Season, occasion and intensity are scored numerically per fragrance in ScentVerdict, and the budget is applied against current bottle prices for the user's country, so the constraints are filtered rather than approximated. Each priced row carries its price in the shop's own currency, and the bottle size and price per millilitre wherever the retailer published a size. Pass as many of the constraints as the user gave; all are optional. Use find_similar_fragrances instead when they name a fragrance to anchor on.

  • compare_fragranceschangeddescription, input schema, output schema
    before

    Compare exactly two fragrances side by side using ScentVerdict's own note data: which notes they share, which differ, and both verdicts. Use this whenever the user is choosing between two named fragrances, or asks which of two is better, or how two differ. Use find_similar_fragrances instead when they want alternatives to one fragrance rather than a head to head.

    after · 94% of words in common

    Compare exactly two fragrances side by side using ScentVerdict's own note data: which notes they share, which differ, both verdicts, and both prices for the user's country. Use this whenever the user is choosing between two named fragrances, or asks which of two is better, or how two differ. Use find_similar_fragrances instead when they want alternatives to one fragrance rather than a head to head.

  • find_similar_fragranceschangeddescription, input schema, output schema
    before

    Find fragrances similar to one the user already knows, optionally steered in a direction such as cheaper, fresher, longer lasting or less sweet. Use this whenever the user names a fragrance and wants something like it: a cheaper alternative, a budget version, something that smells similar, or a gift for someone whose current fragrance they know ('he wears X, what else would suit him'). Each match carries a similarity score computed by ScentVerdict for that specific pair. The cheaper direction lists pairings ScentVerdict has curated first, then similar fragrances priced below the anchor where we hold its price. Use recommend_fragrances instead when the user names no fragrance to anchor on.

    after · 93% of words in common

    Find fragrances similar to one the user already knows, optionally steered in a direction such as cheaper, fresher, longer lasting or less sweet. Use this whenever the user names a fragrance and wants something like it: a cheaper alternative, a budget version, something that smells similar, or a gift for someone whose current fragrance they know ('he wears X, what else would suit him'). Each match carries a similarity score computed by ScentVerdict for that specific pair. The cheaper direction lists pairings ScentVerdict has curated first, then similar fragrances priced below the anchor where we hold its price. Each match carries its bottle price for the user's country, in the shop's own currency. Use recommend_fragrances instead when the user names no fragrance to anchor on.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 82 / 100

no-repository
provenance55
liveness98
freshness100
hygiene80

+dns-namespace +website +reachable +uptime-96% +updated-9d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://scentverdict.com/mcp streamable-httpnoneyes96%390 ms2026-07-282026-10-20

Tools (6)

compare_fragrancesread-onlyCompare exactly two fragrances side by side using ScentVerdict's own note data: which notes they share, which differ, both verdicts, and both prices for the user's country. Use this whenever the user is choosing between two named fragrances, or asks which of two is better, or how two differ. Use find_similar_fragrances instead when they want alternatives to one fragrance rather than a head to head.
find_similar_fragrancesread-onlyFind fragrances similar to one the user already knows, optionally steered in a direction such as cheaper, fresher, longer lasting or less sweet. Use this whenever the user names a fragrance and wants something like it: a cheaper alternative, a budget version, something that smells similar, or a gift for someone whose current fragrance they know ('he wears X, what else would suit him'). Each match carries a similarity score computed by ScentVerdict for that specific pair. The cheaper direction lists pairings ScentVerdict has curated first, then similar fragrances priced below the anchor where we hold its price. Each match carries its bottle price for the user's country, in the shop's own currency. Use recommend_fragrances instead when the user names no fragrance to anchor on.
get_fragranceread-onlyLook up one fragrance in ScentVerdict's catalogue: its notes, ScentVerdict's own verdict, concentration, launch year, and the lowest current price for a full-size bottle for the user's country, in the shop's own currency. Use this whenever the user names a fragrance and asks what it is, what it smells like, what is in it, what it costs, or whether it is any good. Use search_fragrances first if the name is partial or could mean several variants. Use get_scent_profile instead when the question is about how it develops over the wear.
get_scent_profileread-onlyGet how a fragrance develops over the wear: opening, heart and base phases, the notes in each, and how many hours each note persists on skin. Use this when the user asks how something evolves, how long it lasts, how it changes through the day, or what the drydown is like. The per-note hours are values held by ScentVerdict against each note rather than a general impression of the fragrance, and they are estimates. Use get_fragrance instead for the verdict, price and general description.
recommend_fragrancesread-onlyRecommend fragrances matching what the user describes: season, occasion, budget, strength, staying power and notes they like. Use this when the user wants a suggestion but names no fragrance to work from - for example something for winter, for the office, or under a budget. Season, occasion and intensity are scored numerically per fragrance in ScentVerdict, and the budget is applied against current bottle prices for the user's country, so the constraints are filtered rather than approximated. Each priced row carries its price in the shop's own currency, and the bottle size and price per millilitre wherever the retailer published a size. Pass as many of the constraints as the user gave; all are optional. Use find_similar_fragrances instead when they name a fragrance to anchor on.
search_fragrancesread-onlyResolve a fragrance name to catalogue entries. Call this FIRST whenever a name is partial, misspelled, or could mean more than one product, then pass the returned slug to another tool. Many fragrances share a name across concentrations and launch years, and flankers hide behind qualifiers, so guessing the variant silently produces the wrong answer for the rest of the conversation. Results carry concentration and launch year precisely so you can tell them apart, and you should offer the user the choice when several match. Use get_fragrance instead when you already hold an exact slug.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "com.scentverdict/fragrances",
  "icons": [
    {
      "src": "https://scentverdict.com/images/brand/logo-square.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "ScentVerdict",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://scentverdict.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "2.0.0",
  "websiteUrl": "https://scentverdict.com",
  "description": "Fragrance catalogue with verdicts, similarity scores, scent profiles, drydowns and local prices."
}