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DimensionmcptoonZero-dependency MCP client: tool discovery drops 71,929 tokens to 581 (−99.2%, measured)MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS55 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance11 / 2016 / 20
Documentation13 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Heavy MCP users with many configured servers and a tight context budget
  • Developers running several CLI/IDE agents who want a single shared tool configuration
  • Teams whose agents are allowed to execute shell commands (the precondition for using mcptoon)
  • Users who value supply-chain minimalism and prefer a zero-dependency, stdlib-only tool
  • 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
  • Purely GUI agents that cannot run shell commands (they depend on mcptoon sync writing native configs)
  • Users expecting a ready-made tool set — mcptoon bundles no MCP servers and you install each one yourself
  • Scenarios needing a hosted service or cloud control plane
  • Anyone seeking official Anthropic support: mcptoon is an independent third-party MCP client, not affiliated with Anthropic
  • 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
  • Read and write the user-level config file at ~/.mcptoon/config.json
  • Execute local shell commands to launch and call the MCP servers the user installs (e.g. npx- or pip-launched processes)
  • Write into each agent's own native config location when running mcptoon sync
  • Read and write files in the working directory (configs, logs, usage statistics)
  • 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
  • mcptoon runs no daemon, but it launches the third-party MCP servers you add — those servers carry their own permissions and risks
  • On-demand server installation shifts supply-chain risk onto the npm/pip packages you choose
  • The built-in destructive-action block (--destructive), prompt-injection scan and credential-leak detection are guardrails, not guarantees, and do not replace human review
  • Agents that add and call tools autonomously (no human in the loop) gain convenience at the cost of a larger surface for misuse
  • 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, Cursor, Codex, Cline, WindsurfClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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