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

DimensionMCPorterCarry MCP tools into scripts, CLIs, and agentsMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS63 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance17 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers who need to call MCP tools from scripts or CLIs
  • Developers building generated clients or CLIs
  • TypeScript and Node.js environments
  • 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
  • Long-running, always-on server endpoints (not the focus)
  • Non-TypeScript or non-Node.js environments
  • Users requiring advanced authentication and permission management (needs external config)
  • 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
  • Access to MCP servers (network or local stdio commands)
  • Read user and project configuration files based on config
  • File writes for generated artifacts (e.g., CLI generation or type emission)
  • 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
  • Executing tools fetched from MCP servers can have side effects
  • Misconfiguration could accidentally connect to untrusted servers
  • Using OAuth credentials may pose security risks if not configured properly
  • 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, Cursor, VS Code, GitHub Copilot, Continue
Tools90