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 vectora-foundry · MCP Server · ★ 134
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is native-devtools-mcp safe to install? View the security audit →
native-devtools-mcp An MCP server for computer use on native desktop and mobile apps — macOS, Windows, Android, and Chrome/Electron via CDP. Add to your client in one click: Claude Code: gives AI agents and MCP clients direct control over native desktop apps, Chrome/Electron browsers, and Android devices — screenshots, OCR, accessibility-first element lookup, input simulation, window management, Chrome DevTools Protocol (CDP), and
| Stars | 134 |
| Forks | 16 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.1098341976053/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-24 |
| Created | 2026-01-14 |
| Platforms | browser, claude-code, cli, mcp, rust |
| Est. Tokens | ~22k |
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native-devtools-mcp is MCP server for computer use & browser automation - screenshot, OCR, click, type, find_text, Chrome/Electron CDP, template matching. macOS, Windows & Android. Works with Claude, Cursor, and any MCP cl. It is categorized as a MCP Server with 134 GitHub stars.
native-devtools-mcp is primarily written in Rust. It covers topics such as adb, ai-agent, android.
You can find installation instructions and usage details in the native-devtools-mcp GitHub repository at github.com/vectora-foundry/native-devtools-mcp. The project has 134 stars and 16 forks, indicating an active community.
native-devtools-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to native-devtools-mcp on Agent Skills Hub include native-devtools-mcp, flutter-skill, glance. 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: