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 jfarcand · MCP Server · ★ 223
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mirroir-mcp safe to install? View the security audit →
mirroir-mcp Give your AI eyes, hands, and a real iPhone. An MCP server that lets any AI agent see the screen, tap what it needs, and figure the rest out — through macOS iPhone Mirroring. Experimental support for macOS windows. 32 tools, any MCP client. What's Changed Icon detection (YOLO CoreML) — can now detect non-text UI elements (icons, buttons, toggles, activ
| Stars | 223 |
| Forks | 33 |
| Language | Swift |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 78.9018093732384/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-06 |
| Platforms | cli, mcp |
| Est. Tokens | ~18k |
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mirroir-mcp is MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.. It is categorized as a MCP Server with 223 GitHub stars.
mirroir-mcp is primarily written in Swift. It covers topics such as ai-agent, iphone, iphone-mirroring.
You can find installation instructions and usage details in the mirroir-mcp GitHub repository at github.com/jfarcand/mirroir-mcp. The project has 223 stars and 33 forks, indicating an active community.
mirroir-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mirroir-mcp on Agent Skills Hub include cupertino, mcp-client-for-ollama, context-space. 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: