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Compare MCP servers

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

DimensionAI Native Lang (AINL)Turn AI conversations into verifiable, repeatable structured workflows.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS64 / 100 · C79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions11 / 2018 / 20
Maintenance15 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Teams building multi-step AI workflows with state, memory, and tool use
  • Teams seeking to reduce repeated prompt-loop orchestration
  • Projects requiring strict compile-time validation or execution auditing
  • Users of Claude Code, Codex, or other MCP-compatible agents
  • 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 who only need simple hand-written scripts
  • Teams that already have deterministic runners and use LLMs only at judgment gates
  • Projects with no need for workflow validation, auditing, or MCP integration
  • 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
  • Install and run a local Python program
  • Access workspace files, cache, or SQLite when corresponding adapters are enabled
  • Access networks or external services when HTTP, A2A, or other adapters are enabled
  • Use relevant environment configuration when workflows require secrets or external services
  • 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
  • Enabling HTTP or A2A adapters introduces external network access risk
  • Workflows may access files, caches, databases, or secrets depending on adapters and policy configuration
  • Misconfigured adapter, step, runtime, or workspace limits may broaden execution scope
  • Machine-payment profiles are opt-in but may process HTTP 402 payment flows when enabled
  • 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, Claude DesktopClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools130