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by drhelius · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Gearboy Gearboy is a cross-platform Game Boy / Game Boy Color emulator written in C++ that runs on Windows, macOS, Linux, BSD and RetroArch, with an embedded MCP server for debugging and tooling. This is an open source project with its ongoing development made possible thanks to the support by these awesome backers. If you find it useful, please consider sponsoring. Don't hesitate to report bugs or ask for new features by opening an issue. <img src="http://www.geardome.com
| Stars | 1,212 |
| Forks | 167 |
| Language | C++ |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 64.5848820722331/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-02 |
| Created | 2012-07-19 |
| Platforms | mcp |
| Est. Tokens | ~20k |
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Gearboy is Game Boy / Game Boy Color / Super Game Boy emulator and debugger with embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.. It is categorized as a MCP Server with 1.2k GitHub stars.
Gearboy is primarily written in C++. It covers topics such as bsd, emulation, emulator.
You can find installation instructions and usage details in the Gearboy GitHub repository at github.com/drhelius/Gearboy. The project has 1.2k stars and 167 forks, indicating an active community.
Gearboy is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Gearboy on Agent Skills Hub include py-xiaozhi, mcp-client-for-ollama, daymon. 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: