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

DimensionToken-GoatReduce wasted AI coding context and keep agents focused.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS43 / 100 · D79 / 100 · B
Reliability4 / 2012 / 20
Security and permissions8 / 2018 / 20
Maintenance8 / 2016 / 20
Documentation13 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers who regularly use Claude Code, Codex CLI, Gemini CLI, or other supported AI coding CLIs.
  • Users seeking to reduce context usage from large repositories, logs, screenshots, and skill files.
  • Users comfortable with modifying local AI-client configuration and creating indexes and caches.
  • 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
  • Users seeking a standard MCP server manifest, documented MCP transport, or directly callable MCP tool inventory.
  • Users who do not want a global npm package, registered hooks, or client-configuration changes.
  • Production users requiring validated macOS support; the README labels macOS as untested.
  • 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
  • Requires installing a global Node.js/npm package.
  • Requires writing client configuration and hook files for supported AI tools.
  • Requires reading project files, Git information, and relevant session data to build indexes, caches, and compact manifests.
  • The optional worker runs as a local background process.
  • 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
  • Hooks intercept or rewrite reads, Bash commands, screenshots, and other tool calls, which can change how original output is presented.
  • Indexes, caches, and session manifests store project or tool output locally; the README does not document complete retention or encryption behavior.
  • The README claims to scan fetched web content and block prompt injection, but this should not replace human review or the client's own security controls.
  • Some bridges are not validated against live instances, including the documented Qwen, OpenClaw, and pi integrations; Copilot hook failures can deny all tool calls in a session.
  • Repository metadata says NOASSERTION for the license, while the README badge shows PolyForm Noncommercial; verify the repository license before use.
  • 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, Codex, Gemini CLI, Qwen Code, GitHub Copilot CLI, OpenCode, pi, Grok CLIClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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