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 Codeturion · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is unity-api-mcp safe to install? View the security audit →
unity-api-mcp MCP server that gives AI agents accurate Unity API documentation. Prevents hallucinated signatures, wrong namespaces, and deprecated API usage. Supports Unity 2022 LTS, 2023, and Unity 6 with separate databases for each version. Works with Claude Code, Cursor, Windsurf, or any MCP-compatible AI tool. No Unity installation required. Quick Start Add to your MCP config (, , or your tool's MCP settings), setting to match your project: json { "mcpServers": { "unity-api":
| Stars | 66 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.0535386842208/100 |
| Open Issues | 5 |
| Last Updated | 2026-07-19 |
| Created | 2026-02-24 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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unity-api-mcp is Instant, accurate Unity API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations. It is categorized as a MCP Server with 66 GitHub stars.
unity-api-mcp is primarily written in Python. It covers topics such as ai, api-documentation, claude.
You can find installation instructions and usage details in the unity-api-mcp GitHub repository at github.com/Codeturion/unity-api-mcp. The project has 66 stars and 5 forks, indicating an active community.
unity-api-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to unity-api-mcp on Agent Skills Hub include glade-mcp, glade-mcp-unity, coplay-unity-plugin. 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: