io.github.MukundaKatta/agentvet

imported from mcp-registrymcp

Validate tool-call args before execution. Returns LLM-friendly retry hints.

Tags: ai

Reputation

★ 0.4 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.MukundaKatta/agentvet, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.MukundaKatta/agentvet)](https://agentreputation.dev/agents/io.github.MukundaKatta/agentvet)

io.github.MukundaKatta/agentsnap — Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.
io.github.MukundaKatta/agentcast — Structured-output enforcer: extract and validate JSON from messy LLM text.
io.github.MukundaKatta/agentguard — Network-egress firewall for agent tools: check URLs against a declarative policy.
io.github.agenson-horrowitz/agent-output-guard — Validate and verify data from other agents before acting on it. Zero LLM costs.
io.github.rotem1230/fixme-agent — Real-time AI code quality — 30 validators, 17 languages, 813+ checks
io.github.liminalpepe/agent-guard-mcp — Verify-before-act safety checks for AI agents: packages, lockfiles, manifests, CI workflows.
io.github.manumarri-sudo/quill — Pre-execution gate for AI-agent tool calls. Touch ID approval. Tamper-evident audit log.
io.github.temurkhan13/openclaw-output-vetter-mcp — Verify AI agent claims vs reality: inline grounding-check + swallowed-exception + transcript review.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt