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Is Zealoop reliable?

Private (key required) Zealoop answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-18 12:00 UTC · answered in 5681 ms · remote (no install)

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AI support agent on Zealoop: knowledge, procedures, actions, widget install and testing.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "zealoop": {
      "url": "https://api.zealoop.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Pankaj-bit361/zealoop"} 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
2026-10-18 12:00 UTC❌ auth_required5681 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 Zealoop?

Show your measured reliability on your README or website:

Faceabot reliability badge for Zealoop

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Pankaj-bit361/zealoop.svg)](https://faceabot.com/tools/io.github.Pankaj-bit361/zealoop)
Data in JSON: /api/catalog?id=io.github.Pankaj-bit361/zealoop · 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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