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

DimensionSpec Workflow MCPA Model Context Protocol server for structured spec-driven development with real-time dashboard and VSCode extension.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS65 / 100 · C79 / 100 · B
Reliability12 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance12 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience15 / 2015 / 20
Best for
  • Teams that want a structured spec-driven workflow for AI-assisted development.
  • Developers who need to visualize project progress in their IDE.
  • Projects that require an approval process and task tracking for compliance.
  • 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
  • Quick prototypes or small projects that don't need a rigid specification process.
  • Scenarios requiring full cloud deployment with user authentication and HTTPS (currently needs a reverse proxy).
  • 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 and write access to the project directory (e.g., the `.spec-workflow` folder).
  • Network access: The web dashboard binds to `127.0.0.1:5000` by default, allowing local access only.
  • Create and manage files for specs, tasks, approvals, and logs.
  • 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
  • Data exposure: If the dashboard is exposed to the network, it could be accessed without authorization; it is bound to localhost by default, but reverse proxy and firewall configurations must be cautious.
  • Misuse: Since AI agents may execute commands automatically, the tool may perform unintended actions; it is recommended to use in a controlled environment.
  • Dependency risk: Using npx may be subject to npm supply chain risks; keep the package version up to date.
  • 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, Claude Code, Augment Code, Cline/Claude Dev, Continue IDE, Cursor, OpenCode, Windsurf, CodexClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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