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Is ai-model-retirement-lint reliable?

Not measured yet ai-model-retirement-lint runs locally (installed package), so Faceabot cannot measure it over the network.

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

What it does

Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.5 · publisher website
Connect your agent
{
  "mcpServers": {
    "ai-model-retirement-lint": {
      "command": "npx",
      "args": [
        "-y",
        "@readystack/ai-model-retirement-lint"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.jmshinhwa/ai-model-retirement-lint"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements

No measurement yet.

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 ai-model-retirement-lint?

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