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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionThumbGate MCP ServerSelf-improving firewall for AI coding agents that gates tool calls before they runMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS61 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions13 / 2018 / 20
Maintenance13 / 2016 / 20
Documentation14 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Developers running AI coding agents in production or high-blast-radius workflows who need an external enforcement boundary
  • Engineering/security/platform teams wanting auditable, inspectable gate decisions
  • Teams converting repeated corrections into reusable rules instead of relying on model memory
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Small teams happy with a small static hand-written denylist (native hooks suffice)
  • Those expecting gating to improve model generation quality (it intercepts execution only)
  • Cursor/Cline/OpenCode users handling irreversible actions, since advisory verdicts can be ignored
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • Runs locally over stdio; reads/writes ~/.claude or in-repo .claude config, hooks, and lesson stores
  • Writes local state (.thumbgate/), JSONL logs, and task-outcome receipts
  • Requires modifying the agent's MCP and PreToolUse hook configuration files
  • Task-outcome decisions need THUMBGATE_HUMAN_REVIEWER_ID and an independently revocable human reviewer key
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • Advisory integrations (Cursor, Cline, OpenCode, Amp) can be ignored by the agent — no true blocking of irreversible actions
  • In strict mode, false positives from stale or noisy rules can block legitimate work; recovery relies on break-glass
  • Ships warn-by-default: most high-risk commands are not blocked unless strict enforcement is on
  • Dashboard token/dollar savings are estimates, not measured provider usage
  • Lesson DBs contain sensitive engineering context and must stay gitignored in per-project installs
  • Regulated-industry templates are roadmap directions, not shipped compliance capabilities
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, Cline, OpenCode, AmpClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools130