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Is Kujolang.ai MCP reliable?

Flaky Partly. Faceabot measured Kujolang.ai MCP 7 times and only 86% of checks succeeded. Plan a fallback. It also does the job: its real read-only task worked 6 of 6 times.

Last check: 2026-10-09 17:01 UTC · answered in 8000 ms · remote (no install)

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

What it does

AI-native programming language and toolchain for accountable, verifiable agent-driven development.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "kujolang-mcp": {
      "url": "https://mcp.kujolang.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.kujolang/kujolang-mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked get_installation to do a small read-only task 6 time(s): 6 returned a real result, the last 6 in a row. Last result: ok in 2718 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
2026-10-09 17:01 UTC❌ timeout8000 ms
2026-10-09 09:55 UTC✅ ok✅ done8668 ms
2026-10-09 02:05 UTC✅ ok✅ done9934 ms
2026-10-08 17:15 UTC✅ ok✅ done8962 ms
2026-10-08 08:02 UTC✅ ok✅ done8148 ms
2026-10-07 22:25 UTC✅ ok✅ done8322 ms
2026-10-07 11:35 UTC✅ ok✅ done4497 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 Kujolang.ai MCP?

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Faceabot reliability badge for Kujolang.ai MCP

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Data in JSON: /api/catalog?id=io.github.kujolang/kujolang-mcp · Stop probes: POST /api/reliability/opt-out

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