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DimensionAgent Security Scanner MCP ServerSecurity scanning for AI coding agents.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS49 / 100 · D79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance8 / 2016 / 20
Documentation12 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Developers using Claude Code, Cursor, Windsurf, Cline, OpenCode, or another supported AI coding client
  • Teams reviewing AI-generated code, MCP tools, prompts, and supply-chain risks
  • Teams needing security evidence before CI, releases, or vendor reviews
  • 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 traditional dependency vulnerability scanning
  • Users looking for a replacement for npm audit
  • Users needing hosted semantic review without configuring a model provider
  • 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 access to projects, files, Git diffs, MCP servers, or dependency data being scanned
  • The auto-fix capability may require write access to project files
  • Semantic review uses the model provider selected by the user
  • 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
  • AI-generated code may introduce SQL injection, XSS, command injection, unsafe cryptography, or secrets
  • MCP tools may contain description injection, tool-name spoofing, environment-variable exposure, or command-execution risks
  • AI-generated package names may not exist, creating package-squatting or dependency-confusion risks
  • Semantic review sends relevant content to the selected provider; rule-based scans and MCP scans run locally
  • 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, Claude Desktop, Windsurf, Cline, Kilo Code, OpenCode, CodyClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools170