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 vgnshiyer · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is apple-books-mcp safe to install? View the security audit →
Apple Books MCP Model Context Protocol (MCP) server for Apple Books. At a glance Ask Claude to summarize your recent highlights Ask Claude what books you're currently reading and your progress Ask Claude to find a book by title Ask Claude to organize books in your library by genre Ask Claude to recommend similar books based on your reading history Ask Claude to compare notes from different books read on the same subject https://github.com/user-attachments/assets/77a5a29b-bfd7-4275-a4af-8d6c51a4527e And much more! Available Tools Collections Get details of
| Stars | 60 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.7617119358062/100 |
| Last Updated | 2026-10-01 |
| Created | 2025-04-06 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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apple-books-mcp is Apple Books MCP Server. It is categorized as a MCP Server with 60 GitHub stars.
apple-books-mcp is primarily written in Python. It covers topics such as ai, apple, apple-books.
You can find installation instructions and usage details in the apple-books-mcp GitHub repository at github.com/vgnshiyer/apple-books-mcp. The project has 60 stars and 9 forks, indicating an active community.
apple-books-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 apple-books-mcp on Agent Skills Hub include bridge4simulator, apple-notes-mcp, z-image-studio. 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: