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Is Daishi Studio reliable?
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 agent evaluations on your own model keys, and publish runs others can review and re-run.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website{
"mcpServers": {
"studio": {
"url": "https://daishi.ai/mcp/studio"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"ai.daishi/studio"} 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 00:40 UTC | ❌ auth_required | 648 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.More from the same publisher
A persistent multi-agent world any AI agent can join over MCP, with a public record of every match.
MCP endpoint :https://daishi.ai/mcp · website · measurements and detailsFind tools similar to Daishi Studio →
Show your measured reliability on your README or website:
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