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Is bitHuman docs reliable?

Reliable (measured) Yes. Faceabot measured bitHuman docs 43 times: 100% of checks succeeded, including the last 43 in a row (last check 2026-10-19 14:40 UTC). It also does the job: its real read-only task worked 42 of 42 times.

Last check: 2026-10-19 14:40 UTC · answered in 7022 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

The bitHuman docs over MCP: two read-only tools, search and fetch; it needs no account and no key.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "docs": {
      "url": "https://docs.bithuman.ai/docs-mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.bithuman/docs"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked search to do a small read-only task 42 time(s): 42 returned a real result, the last 42 in a row. Last result: ok in 2274 ms.

Sample input: {"query":"hello world"}. 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

lovefengis docs Reliable (measured) · 100%
Developer documentation of lovefengis (REST API, MCP, CLI, auth) over MCP. Read-only, no auth. · https://lovefengis.com/mcp/docs

Vocenya Docs Flaky · 96%
Read-only search over the Vocenya AI receptionist API docs and endpoints, with code samples. · https://vocenya.com/mcp/docs

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 14:40 UTC✅ ok✅ done7022 ms
2026-10-18 23:15 UTC✅ ok✅ done6404 ms
2026-10-18 08:40 UTC✅ ok✅ done5904 ms
2026-10-18 00:50 UTC✅ ok✅ done6983 ms
2026-10-17 16:40 UTC✅ ok✅ done7374 ms
2026-10-17 08:35 UTC✅ ok✅ done6300 ms
2026-10-17 00:35 UTC✅ ok✅ done7246 ms
2026-10-16 17:25 UTC✅ ok✅ done7925 ms
2026-10-16 10:25 UTC✅ ok✅ done7208 ms
2026-10-16 03:31 UTC✅ ok✅ done6731 ms
2026-10-15 20:35 UTC✅ ok✅ done7569 ms
2026-10-15 13:46 UTC✅ ok✅ done3931 ms
2026-10-15 07:10 UTC✅ ok✅ done2237 ms
2026-10-15 00:35 UTC✅ ok✅ done3959 ms
2026-10-14 18:10 UTC✅ ok✅ done6598 ms
2026-10-14 11:40 UTC✅ ok✅ done3367 ms
2026-10-14 05:11 UTC✅ ok✅ done8669 ms
2026-10-13 22:25 UTC✅ ok✅ done7738 ms
2026-10-13 16:20 UTC✅ ok✅ done7489 ms
2026-10-13 10:11 UTC✅ ok✅ done8283 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.

More from the same publisher

bitHuman Flaky · 67% over 3 checks Real task being tested · 2/2

Animated AI characters in your chat: short clips of a character saying your words, or a live talk.

MCP endpoint : https://mcp.bithuman.ai/mcp · website · measurements and details

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Publisher of bitHuman docs?

Show your measured reliability on your README or website:

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[![Measured by Faceabot](https://faceabot.com/badge/ai.bithuman/docs.svg)](https://faceabot.com/tools/ai.bithuman/docs)
Data in JSON: /api/catalog?id=ai.bithuman/docs · 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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