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Compare MCP servers

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

DimensionAgent DeviceLet AI agents inspect, control, and verify apps.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS59 / 100 · C79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions8 / 2018 / 20
Maintenance14 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Teams building React Native, Expo, Flutter, or native apps
  • Teams validating apps on local devices, simulators, emulators, or CI
  • QA and development workflows where an agent chooses actions at runtime
  • 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
  • Teams seeking a complete replacement for conventional maintained test suites
  • Workflows requiring physical Fire TV, capture, or Vega selector backends
  • Users without an available supported device, simulator, emulator, or desktop target
  • 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 and control of connected iOS, Android, TV, desktop, or other supported device environments
  • Reading accessibility trees, logs, network data, performance information, and crash details where supported
  • Saving screenshots, videos, traces, and other verification evidence when requested
  • 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
  • Device actions can change application state or perform test operations
  • Element targeting and verification may be less reliable when accessibility data is poor
  • Earlier @eN references may no longer identify the same element; use references from the latest output
  • Vega OS support is currently VVD-only; physical Fire TV, capture, and selector backends are unsupported
  • 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
Tools00