Catalog › io.github.RudrenduPaul/memtrust
Not measured yet memtrust 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.
Independent, reproducible benchmark harness for agent-memory backends.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.3.6 · publisher website{
"mcpServers": {
"memtrust": {
"command": "uvx",
"args": [
"memtrust-cli"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.RudrenduPaul/memtrust"} 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.Multiple MCP tools, persistent graph memory, token-saving data pointers, and more.
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MCP endpoint :https://api.lazy-mac.com/form-backend/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.RudrenduPaul/memtrust)Data in JSON: /api/catalog?id=io.github.RudrenduPaul/memtrust · 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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