| name | thumbgate |
| description | ThumbGate provides pre-action gates for AI coding agents. It captures thumbs-up/down feedback on agent actions, auto-promotes repeated failures into prevention rules, and blocks known-bad tool calls via PreToolUse hooks. Trigger when the user wants to add safety guardrails to an AI agent workflow, capture structured feedback on agent output, generate prevention rules from failure patterns, gate high-risk actions before execution, or export DPO training pairs from production feedback. Works with any MCP-compatible agent including Cursor, Codex, Gemini CLI, Amp, and OpenCode.
|
ThumbGate
Pre-action gates that stop AI coding agents from repeating known mistakes.
Quick Start
npx thumbgate init
This installs the MCP server and wires it into your agent's tool configuration. No API keys required for the free tier.
Or install globally:
npm install -g thumbgate
thumbgate init
MCP Configuration
Add to your agent's MCP config (e.g., claude_desktop_config.json or .cursor/mcp.json):
{
"mcpServers": {
"thumbgate": {
"command": "npx",
"args": ["-y", "thumbgate"]
}
}
}
How It Works
Feedback Capture
When an agent action succeeds or fails, capture structured feedback:
- Thumbs up: Records what worked, tags it, and stores it as a reusable pattern.
- Thumbs down: Records the failure context, what went wrong, and what to change. Repeated failures auto-promote into prevention rules.
Prevention Rules
After a failure pattern repeats (default: 2 occurrences), ThumbGate auto-generates a prevention rule. These rules are injected into agent context before every tool call, blocking the known-bad pattern before it executes.
Pre-Action Gates
Gates intercept tool calls via the MCP PreToolUse hook. Each gate checks the proposed action against:
- Prevention rules generated from past failures
- Thompson Sampling confidence scores (adaptive sensitivity)
- LanceDB vector similarity to known-bad patterns
If a match is found, the gate blocks execution and surfaces the prior failure context.
Context Packs
Bounded retrieval of relevant feedback history for the current task. The agent gets exactly the lessons that matter, not the entire history.
MCP Tools Provided
| Tool | Description |
|---|
capture_feedback | Record thumbs-up/down with structured context |
search_lessons | Query the lesson DB by keyword or semantic similarity |
get_prevention_rules | Retrieve active prevention rules for the current context |
session_primer | Get session handoff context (last task, next step, blockers) |
export_dpo | Export feedback pairs in DPO training format |
Tiers
| Free | Pro | Team |
|---|
| Feedback capture | 3/day | Unlimited | Unlimited |
| Lesson search | 5/day | Unlimited | Unlimited |
| Active gates | 5 | Unlimited | Unlimited |
| Dashboard | - | Yes | Yes |
| DPO export | - | Yes | Yes |
| Seats | 1 | 1 | Per-seat |
| Price | $0 | $19/mo | $49/seat/mo |
Start a 7-day free trial of Pro: https://thumbgate-production.up.railway.app/go/pro?utm_source=skill
Compatibility
ThumbGate works with any MCP-compatible agent:
- Cursor
- Codex
- Gemini CLI
- Amp
- OpenCode
- Any agent supporting the Model Context Protocol
Links
