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 barry-ran · MCP Server · ★ 346
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is QuickDesk safe to install? View the security audit →
QuickDesk The First AI-Native Remote Desktop Built-in MCP Server · AI Agents Control Any Remote Computer · Open-Source & Free English | 中文 Telegram Download QuickDesk is the
| Stars | 346 |
| Forks | 59 |
| Language | QML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.6342235919292/100 |
| Open Issues | 6 |
| Last Updated | 2026-08-16 |
| Created | 2026-01-16 |
| Platforms | mcp |
| Est. Tokens | ~21k |
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QuickDesk is QuickDesk is the first AI-native remote desktop — an open-source, free application with a built-in MCP (Model Context Protocol) Server that lets any AI agent see and control remote computers.. It is categorized as a MCP Server with 346 GitHub stars.
QuickDesk is primarily written in QML. It covers topics such as agent, mcp, rdp.
You can find installation instructions and usage details in the QuickDesk GitHub repository at github.com/barry-ran/QuickDesk. The project has 346 stars and 59 forks, indicating an active community.
QuickDesk is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to QuickDesk on Agent Skills Hub include KKTerm, winremote-mcp, ai-security-tool. 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: