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 conorluddy · MCP Server · ★ 95
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xc-mcp safe to install? View the security audit →
XC-MCP: Intelligent Xcode MCP Server Production-grade MCP server for Xcode workflows — optimized for AI agents with accessibility-first iOS automation XC-MCP makes Xcode and iOS simulator tooling accessible to AI agents through intelligent context engineering. V3.0.0 adds platform-native support — Claude's tool search automatically discovers tools on-demand, minimizing baseline context overhead while maintaining full 29-tool functionality. Why XC-MCP? The Problem: Token Overflow Breaks MCP Clients Traditional Xcode CLI wrappers dump massive output that exceeds MCP protocol limits: : 57,000+ tokens (unusable in MCP context) Build logs: 135,000+ tokens (catastrophic o
| Stars | 95 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 74.3281162261082/100 |
| Open Issues | 20 |
| Last Updated | 2026-09-13 |
| Created | 2025-08-03 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~20k |
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xc-mcp is XCode CLI MCP: Convenience wrapper for Xcode CLI tools & iOS Simulator. Progressive disclosure of tool responses to reduce context usage. Use --mini param for build-only with tiny context footprint.. It is categorized as a MCP Server with 95 GitHub stars.
xc-mcp is primarily written in TypeScript. It covers topics such as claude-code, claude-mcp, cli-mcp.
You can find installation instructions and usage details in the xc-mcp GitHub repository at github.com/conorluddy/xc-mcp. The project has 95 stars and 7 forks, indicating an active community.
The top alternatives to xc-mcp on Agent Skills Hub include MCP-Defender, google-analytics-mcp, claude-historian-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.
Sources & who's responsible: