by IvanMurzak · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Blender, Unity & Godot MCP
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.
| Stars | 55 |
| Forks | 9 |
| Language | C# |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Last Updated | 2026-10-16 |
| Created | 2025-12-09 |
| Platforms | dotnet, mcp |
| Est. Tokens | ~19k |
Unity AI ProBuilder [](https://stand-with-u
Looking for a Unity-AI-ProBuilder alternative? If you're comparing Unity-AI-ProBuilder with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Unity MCP Plugin (UPM) — Editor bridge for AI-assisted game development. Enables Claude, Cursor & MCP-compatib
Connect any MCP-compatible AI client (Claude Code, Cursor, Windsurf) to your Unity Editor. 235+ granular tools
GoPeak — The most comprehensive MCP server for Godot Engine. 95+ tools: scene management, GDScript LSP, DAP de
147 AI tools for Unity game development via MCP (Model Context Protocol). Connect Claude, Cursor, and AI assis
Let AI edit your Unreal Engine Blueprints. MCP server plugin for Claude Code — describe what you want in plain
🚀 UE5-UMG-MCP: A deep-focused MCP for Unreal Engine UMG layout. Designed to maximize AI efficiency within lim
Explore other popular mcp server tools:
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: