godot-devtool: Godot 4 MCP server for AI-assisted project inspection, editing, validation, and runtime automation

by wangdiandao · MCP Server · ★ 89

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install godot-devtool

git clone https://github.com/wangdiandao/godot-devtool.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-assisted-developmentautomationdeveloper-toolsgame-developmentgamedevgodotgodot-enginemcpmodel-context-protocol

Quick Facts

Stars89
Forks10
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score70/100
Last Updated2026-06-29
Created2026-05-05
Platformsmcp, node
Est. Tokens~25k

About godot-devtool

# godot-devtool English | 中文 Buy me a coffee on Patreon if this project helps you. I am not very familiar with editing Patreon pages yet; thanks for your understanding. is a Godot 4 MCP server for AI-assisted project inspection, editing, validation, and runtime automation.

Compatible Skills

These tools work well together with godot-devtool for enhanced workflows:

  • GodotPrompter — semantic(0.51)+complementary+rare_topics+similar_pop+shared_platform (66%)
  • everything-game-dev-code — semantic(0.49)+complementary+rare_topics+similar_pop+shared_platform (61%)

godot-devtool alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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