What are reliable alternatives to Scento Perfume API (MCP server)?

Measured by Faceabot as working: 10ML Perfume Finder, Perfume Picks.

How do I connect an AI agent to Scento Perfume API (MCP server)?

Use the MCP streamable HTTP endpoint https://www.scento.com/mcp.

Catalog › com.scento/perfume-api

Is Scento Perfume API (MCP server) reliable?

Reliable (measured) Yes. Faceabot measured Scento Perfume API (MCP server) 5 times: 100% of checks succeeded, including the last 5 in a row (last check 2026-10-23 06:59 UTC). It also does the job: its real read-only task worked 5 of 5 times.

Last check: 2026-10-23 06:59 UTC · answered in 6677 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Free perfume & fragrance API and MCP server: notes, families, similar scents, 1,400+ perfumes.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "perfume-api": {
      "url": "https://www.scento.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.scento/perfume-api"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked family-map to do a small read-only task 5 time(s): 5 returned a real result, the last 5 in a row. Last result: ok in 2190 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Other proven tools for the same job

10ML Perfume Finder Reliable (measured) · 100%
Free perfume MCP server and fragrance API: 6,000+ perfumes, note pyramids, accords, similar scents. · https://mcp.10ml.com/mcp

Perfume Picks Flaky · 86%
Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data. · https://mcp.perfumepicks.app/?src=registry

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

Faceabot measurements

When	Answers	Real task	Latency
2026-10-23 06:59 UTC	✅ ok	✅ done	6677 ms
2026-10-22 20:16 UTC	✅ ok	✅ done	5119 ms
2026-10-22 09:01 UTC	✅ ok	✅ done	3861 ms
2026-10-21 22:05 UTC	✅ ok	✅ done	3926 ms
2026-10-21 10:31 UTC	✅ ok	✅ done	4939 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of Scento Perfume API (MCP server)?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.scento/perfume-api.svg)](https://faceabot.com/tools/com.scento/perfume-api)

Data in JSON: /api/catalog?id=com.scento/perfume-api · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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