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

DimensionCodacy MCP ServerQuery Codacy's code quality, security, and coverage analysis via MCP.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS56 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance10 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Teams already using the Codacy platform for code quality and security management
  • Developers who want Codacy analysis results directly inside Cursor, Windsurf, VS Code Copilot, or Claude Desktop
  • Teams that want to check pull request issues and coverage as part of an AI coding assistant workflow
  • 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 without a Codacy account, or who don't intend to register repositories with Codacy
  • Scenarios requiring generic static analysis or security scanning independent of the Codacy platform
  • Restricted environments where Node.js/npx or the Codacy CLI cannot be installed
  • 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
  • Accesses organizations and repositories the user has permission to on Codacy, via the CODACY_ACCOUNT_TOKEN personal account token
  • Reads repository analysis results, issues, coverage, security findings, and pull request data
  • Executes the Codacy CLI locally to analyze code on the filesystem (attempts automatic installation of the CLI)
  • 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
  • CODACY_ACCOUNT_TOKEN is a sensitive credential; if leaked it could grant access to all Codacy organizations and repositories tied to the account
  • codacy_cli_analyze installs and runs the Codacy CLI locally, which involves executing a third-party binary
  • Security-related tools (SRM items) surface repository vulnerability and secret-scanning results, so access and downstream handling should be controlled
  • The server depends on network access to the Codacy API; misconfigured credentials could expose data to unintended clients
  • 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, Windsurf, GitHub CopilotClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools230