No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by CoderGamester · MCP Server · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-unity safe to install? View the security audit →
MCP Unity Editor (Game Engine) ,/(/. (/, /(((((/. ((((((. .((((((((((/. ((((((((((/. ./((((((((((((((/ ((((((((((((((/, ,/(((((((((((((/. /(((((((((((((/. ,%%#((/(((((( ,/(((((/(#&@@( ,%%##%%##((((((/. ,/((((/(#&@@@@@@(
| Stars | 1,885 |
| Forks | 239 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.2204739910254/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-03 |
| Created | 2025-03-13 |
| Platforms | claude-code, cli, codex, dotnet, mcp |
| Est. Tokens | ~24k |
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mcp-unity is Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs. It is categorized as a MCP Server with 1.9k GitHub stars.
mcp-unity is primarily written in C#. It covers topics such as claudecode, codex-cli, copilot.
You can find installation instructions and usage details in the mcp-unity GitHub repository at github.com/CoderGamester/mcp-unity. The project has 1.9k stars and 239 forks, indicating an active community.
mcp-unity is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-unity on Agent Skills Hub include Unity-MCP, antigravity-workspace-template, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: