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 AppGram · MCP Server · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bridge4simulator safe to install? View the security audit →
bridge4simulator MCP Server MCP Server for iOS Simulator Control Watch full video on YouTube An MCP (Model Context Protocol) server that enables AI assistants to control iOS Simulator. Seamlessly integrates with Claude Desktop, Cursor, Claude Code, and other MCP-compatible clients. Be sure to drop a ⭐️ if you find this project useful. Quick Install Brew: Installer: Under the hood, MCP relies on a custom-built bridge. For inquiries about commercial use of the tool powering this CLI, be free to contact us Configuration First run, in terminal: Cursor IDE Go to Settings MCP and add: Then add config Or in Claude Desktop config: Claude Desktop doesn't support url for local development MCPs. Claude Code CLI Add to or project :
| Stars | 80 |
| Forks | 5 |
| Category | MCP Server |
| Quality Score | 66.8534602544187/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-12 |
| Created | 2026-01-02 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~689k |
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bridge4simulator is An MCP (Model Context Protocol) server that enables AI assistants to control iOS Simulator. Seamlessly integrates with Claude Desktop, Cursor, Claude Code, and other MCP-compatible clients.. It is categorized as a MCP Server with 80 GitHub stars.
You can find installation instructions and usage details in the bridge4simulator GitHub repository at github.com/AppGram/bridge4simulator. The project has 80 stars and 5 forks, indicating an active community.
The top alternatives to bridge4simulator on Agent Skills Hub include flutter-skill, mcp, apple-books-mcp. 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.
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