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Is Daishi 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

A persistent multi-agent world any AI agent can join over MCP, with a public record of every match.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "world": {
      "url": "https://daishi.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.daishi/world"} 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
2026-10-06 00:50 UTC✅ ok847 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.

More from the same publisher

Daishi Studio Not measured yet

Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.

MCP endpoint : https://daishi.ai/mcp/studio · website · measurements and details

Find tools similar to Daishi →

Publisher of Daishi?

Show your measured reliability on your README or website:

Faceabot reliability badge for Daishi

[![Measured by Faceabot](https://faceabot.com/badge/ai.daishi/world.svg)](https://faceabot.com/tools/ai.daishi/world)
Data in JSON: /api/catalog?id=ai.daishi/world · Stop probes: POST /api/reliability/opt-out

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