Catalog › io.github.BrightbeamAI/metis
Not measured yet Metis 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.
Governed tacit memory for AI agents: reviewed expert know-how, given only where conditions match
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.6 · publisher website{
"mcpServers": {
"metis": {
"command": "uvx",
"args": [
"metis-memory"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.BrightbeamAI/metis"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.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.Change control for what AI agents learn: humans promote, releases are signed, rules can be recalled
Package pypi :brevet · website · measurements and detailsAuditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
Package npm :@brightbeamai/chap-coordinator-mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.BrightbeamAI/metis)Data in JSON: /api/catalog?id=io.github.BrightbeamAI/metis · 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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