Catalog › ai.getminds/minds
Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Run AI market research: synthetic customer panels for concept testing, message testing, segments.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.2 · publisher website{
"mcpServers": {
"minds": {
"url": "https://getminds.ai/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"ai.getminds/minds"} on https://faceabot.com/api/mcp.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.
| When | Answers | Real task | Latency |
|---|---|---|---|
| 2026-10-06 08:41 UTC | ❌ auth_required | 2842 ms |
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.Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.
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Package pypi :fabricator-panel-mcp · website · measurements and detailsInvoicing, costs, KPiR, VAT and KSeF data from your Mobilna Faktura account (Poland).
MCP endpoint :https://mobilna-faktura.pl/panel/api/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/ai.getminds/minds)Data in JSON: /api/catalog?id=ai.getminds/minds · Stop probes:
POST /api/reliability/opt-outAI 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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