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DimensionRPG Maker MV Ultimate MCPAI copilot for RPG Maker MV: generate maps, edit database & events, and understand your project.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS58 / 100 · C79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance9 / 2016 / 20
Documentation14 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Game developers working with RPG Maker MV
  • Those who want AI-assisted level design and event scripting
  • AI agents that need to interact with the project structure via MCP
  • 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
  • Projects not using RPG Maker MV
  • Users expecting real-time synchronization with a visual editor (this edits files directly, no GUI)
  • Those who want vision AI capabilities without configuring an external endpoint
  • 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 project files (data/ and js/)
  • Run the game (playtest) or open the editor
  • Network access (optional, only for vision AI)
  • 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
  • Incorrect operations can corrupt project data, but backup mechanisms exist
  • Using vision AI sends images to the configured endpoint
  • Procedural generation may not match design intent
  • 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, OpenCodeClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools130