Catalog › io.github.MukundaKatta/agentvet
Is agentvet reliable?
Not measured yet agentvet 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.
Validate tool-call args before execution. Returns LLM-friendly retry hints.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website{
"mcpServers": {
"agentvet": {
"command": "npx",
"args": [
"-y",
"@mukundakatta/agentvet-mcp"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.MukundaKatta/agentvet"} 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.More from the same publisher
Structured-output enforcer: extract and validate JSON from messy LLM text.
Package npm :@mukundakatta/agentcast-mcp · website · measurements and detailsToken-aware message truncation: fit a chat history into your model's context budget.
Package npm :@mukundakatta/agentfit-mcp · website · measurements and detailsNetwork-egress firewall for agent tools: check URLs against a declarative policy.
Package npm :@mukundakatta/agentguard-mcp · website · measurements and detailsSnapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.
Package npm :@mukundakatta/agentsnap-mcp · website · measurements and detailsInject, parse, and strip [N] citation markers in RAG outputs.
Package npm :@mukundakatta/citecite-mcp · website · measurements and detailsFind tools similar to agentvet →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.MukundaKatta/agentvet)Data in JSON: /api/catalog?id=io.github.MukundaKatta/agentvet · 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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