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Is TalentLMS MCP by usefulapi reliable?

Reliable (measured) Yes. Faceabot measured TalentLMS MCP by usefulapi 37 times: 100% of checks succeeded, including the last 37 in a row (last check 2026-10-19 10:05 UTC).

Last check: 2026-10-19 10:05 UTC · answered in 5915 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

Read TalentLMS users, courses, groups, branches and progress; create learners and enroll users.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "talentlms": {
      "url": "https://talentlms.usefulapi.io/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.usefulapi/talentlms"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 10:05 UTC✅ ok❌ auth_required5915 ms
2026-10-18 17:10 UTC✅ ok❌ auth_required6401 ms
2026-10-18 05:35 UTC✅ ok❌ auth_required6590 ms
2026-10-17 21:40 UTC✅ ok❌ auth_required5587 ms
2026-10-17 13:10 UTC✅ ok❌ auth_required7796 ms
2026-10-17 05:30 UTC✅ ok❌ auth_required6896 ms
2026-10-16 21:45 UTC✅ ok❌ auth_required5387 ms
2026-10-16 14:36 UTC✅ ok❌ auth_required7914 ms
2026-10-16 07:35 UTC✅ ok❌ auth_required6548 ms
2026-10-16 00:40 UTC✅ ok❌ auth_required7085 ms
2026-10-15 17:46 UTC✅ ok❌ auth_required8058 ms
2026-10-15 11:01 UTC✅ ok❌ auth_required3784 ms
2026-10-15 04:25 UTC✅ ok❌ auth_required4740 ms
2026-10-14 22:00 UTC✅ ok❌ auth_required8468 ms
2026-10-14 15:30 UTC✅ ok❌ auth_required7669 ms
2026-10-14 09:05 UTC✅ ok❌ auth_required3678 ms
2026-10-14 02:21 UTC✅ ok❌ auth_required9968 ms
2026-10-13 20:10 UTC✅ ok❌ auth_required8008 ms
2026-10-13 14:01 UTC✅ ok❌ auth_required6362 ms
2026-10-13 07:55 UTC✅ ok❌ auth_required6391 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.

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Publisher of TalentLMS MCP by usefulapi?

Show your measured reliability on your README or website:

Faceabot reliability badge for TalentLMS MCP by usefulapi

[![Measured by Faceabot](https://faceabot.com/badge/io.usefulapi/talentlms.svg)](https://faceabot.com/tools/io.usefulapi/talentlms)
Data in JSON: /api/catalog?id=io.usefulapi/talentlms · Stop probes: POST /api/reliability/opt-out

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