funplay-unity-mcp: The Most Advanced MCP Server for Unity Editor with execute_code, prompts/resources, input simulation

by FunplayAI · MCP Server · ★ 279

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

Featured in: Blender, Unity & Godot MCP

Security audit verdict: SAFE · quality 69/100

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-toolsclaude-codecodexcursorgame-developmentgithub-copilotllmmcpmcp-server

Quick Facts

Stars279
Forks23
LanguageC#
CategoryMCP Server
LicenseMIT
Quality Score69/100
Last Updated2026-11-02
Created2026-03-12
Platformsclaude-code, codex, dotnet, mcp
Est. Tokens~22k

About funplay-unity-mcp

Funplay MCP for Unity The Most Advanced MCP Server for Unity Editor 中文 | English 💖 If you find this project useful, please consider giving it a Star. It helps more Unity developers discover it and supports ongoing development.

Compatible Skills

These tools work well together with funplay-unity-mcp for enhanced workflows:

  • unity-mcp-pro-plugin — semantic(0.69)+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • unity-mcp-plugin — semantic(0.62)+rare_topics+same_lang+similar_pop+shared_platform (67%)

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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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