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Is Plaud reliable?

Reliable (measured) Yes. Faceabot measured Plaud 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 20:00 UTC). It answers, but its real task has not worked yet (0/8 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 20:00 UTC · answered in 9350 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

Your Plaud recordings in natural language: list recordings, read speaker-attributed transcripts and

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "plaud-mcp": {
      "url": "https://api.mcp.ai/p_plaud"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.mcp-dir/plaud-mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked plaud_get_user to do a small read-only task 8 time(s): 0 returned a real result. Last result: http_404 in 2831 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 20:00 UTC✅ ok❌ http_4049350 ms
2026-10-19 06:45 UTC✅ ok❌ http_4047675 ms
2026-10-18 14:15 UTC✅ ok❌ http_4046081 ms
2026-10-18 04:00 UTC✅ ok❌ http_4046923 ms
2026-10-17 19:35 UTC✅ ok❌ http_4044591 ms
2026-10-17 11:10 UTC✅ ok❌ http_4046033 ms
2026-10-17 03:10 UTC✅ ok❌ http_4045780 ms
2026-10-16 19:30 UTC✅ ok❌ http_4047164 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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Data in JSON: /api/catalog?id=io.github.mcp-dir/plaud-mcp · Stop probes: POST /api/reliability/opt-out

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