← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionAI Security CrewSecurity review MCP server for vibe codingMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS62 / 100 · C79 / 100 · B
Reliability7 / 2012 / 20
Security and permissions16 / 2018 / 20
Maintenance12 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers who want security guidance while coding fast
  • Users of AI coding tools like Claude Code and Cursor
  • Teams using Jira and Confluence for issue tracking
  • 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
  • Enterprises needing deep security audits or compliance reports
  • Users without Docker (or can use plugin instead)
  • Projects that don't require threat modeling or CVE scanning
  • 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
  • File system access (writing threat-model.md)
  • Network access (calling OSV.dev, Jira, Confluence APIs)
  • API tokens in environment variables (Jira, Confluence)
  • 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
  • Security reviews are based on OWASP guidelines but may not cover all scenarios
  • Reachability analysis in dependency scanning may be inaccurate
  • Requires configuring Jira/Confluence tokens; improper handling may leak credentials
  • Automatic injection of security requirements may alter coding workflow
  • 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 Desktop, Cursor, Claude CodeClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools80