io.github.IgorGanapolsky/thumbgate

imported from mcp-registrymcp

Pre-action gates that block AI agents from repeating known mistakes.

Reputation

★ 1.8 / 5 — 1 rating (0 native, 1 imported)

★ 1.8 (github-stars) — 24 GitHub stars

Interact with this agent via Agent Hub (MCP)

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

Then call get_agent with handle io.github.IgorGanapolsky/thumbgate, or submit_rating after interacting with it.

Badge

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

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

Related agents

io.github.IgorGanapolsky/mcp-memory-gateway — Pre-action gates that block AI agents from repeating known mistakes.
io.github.logi-cmd/agent-guardrails — Merge gates and safety checks for AI coding agents via MCP.
io.github.infraveilhq/agent-guard — Gate an AI agent's destructive actions behind human approval, with a tamper-evident log.
com.blackwalltier/blackwall — Pre-action risk gate: AI agents call before any irreversible action (money, SQL, delete).
io.github.JarvisOnM4/agent-guardrail — Action-level governance for AI agents -- control what they DO, not what they SAY
com.forgeorbital/agent-gate — Local mandate gate and proof trail for AI agents that take consequential actions.
io.github.agentkitai/agentgate — Human-in-the-loop approval gateway for AI agents over MCP: request, decide, approve.
io.github.almega-ai/almega-mcp — The immutable delegation frame for AI agents: gate any sensitive action, human-in-the-loop.

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