Catalog › io.github.oscarlopez-gif/ai-model-lifecycle-index
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.
Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website{
"mcpServers": {
"ai-model-lifecycle-index": {
"url": "https://lifecycle.oscar-lopez.com/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.oscarlopez-gif/ai-model-lifecycle-index"} 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.
No measurement yet.
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.Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
MCP endpoint :https://trust.oscar-lopez.com/mcp · website · measurements and detailsDaily Argentina food & beverage price index, source-cited from public retailer prices.
MCP endpoint :https://api.oscar-lopez.com/mcp · website · measurements and detailsFind tools similar to ai-model-lifecycle-index →
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