by MrGo2 · MCP Server · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 74 |
| Forks | 22 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-04 |
| Created | 2026-01-13 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~16k |
icloud-mcp covers seven Apple services with two interchangeable backends, and as far as we know it is the only MCP server that does. In local mode it drives the native macOS apps through Apple
These tools work well together with icloud-mcp for enhanced workflows:
Looking for a icloud-mcp alternative? If you're comparing icloud-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCP server for Apple Mail - read, search, send, and manage emails via Claude and other AI assistants
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allow
MCP server giving AI assistants full access to Apple Mail - read, search, compose, organize & analyze emails v
Native Safari browser automation for AI agents. 98 tools via AppleScript — zero overhead, keeps logins, runs s
MCP server for Apple Notes - read, search, create, edit, organize, and export notes on macOS via Claude and ot
Apple Mail MCP server with full-coverage FTS5 body search. Reliable on large mailboxes where AppleScript-based
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: