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Is b/cited reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AEO tools: scan any URL for AI-citation readiness, read the public leaderboard and citation panel.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.6.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "bcited": {
      "url": "https://mcp.bcited.ai/public"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.bcited/bcited"} 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
2026-10-05 23:19 UTC✅ ok439 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 b/cited?

Show your measured reliability on your README or website:

Faceabot reliability badge for b/cited

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