apple-books-mcp

apple-books-mcp is a skill for Claude Code, Codex from vladmdgolam/agent-skills. It costs 81 tokens per session (1,603 once invoked), scanned A, original, MIT.

A connection to Apple Books that retrieves books, highlights, annotations, notes, collections, and related details. Apple Books is Apple's app for reading digital books.

In plain words
What is it for?
Use it to find highlights or notes, inspect annotations and their colors, list books or collections, and summarize or search your Apple Books library.
Why use it?
It lets an agent search and organize reading notes without manually opening books and copying passages one by one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find highlights or notes, inspect annotations and their colors, list books or collections, and summarize or search your Apple Books library.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vladmdgolam/agent-skills/apple-books-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vladmdgolam/agent-skills --skill apple-books-mcp
Clone the repo
git clone --depth 1 https://github.com/vladmdgolam/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for apple-books-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/apple-books-mcp/github.svg)](https://agentmods.dev/skills/vladmdgolam/agent-skills/apple-books-mcp)
Your own site
<a href="https://agentmods.dev/skills/vladmdgolam/agent-skills/apple-books-mcp"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/apple-books-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for apple-books-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/vladmdgolam/agent-skills/apple-books-mcp"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/apple-books-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,603 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 14
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 14
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium Memory Poisoning · line 50
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01603
Opus 5 $0.00041 $0.00801
Sonnet 5 $0.00016 $0.00321
Haiku 4.5 $0.00008 $0.00160

Measured 13d ago against content hash 1dd70ce7c90d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apple-books-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/apple-books-mcp/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple Books MCP

MCP server: vgnshiyer/apple-books-mcp

Install: npx -y @anthropic-ai/claude-code mcp add apple-books -- uvx apple-books-mcp

Tools Reference

Tool Purpose
list_all_books List all books (ID, title, author)
get_book_annotations All annotations for a book by ID. No color data.
describe_annotation Full details for one annotation including color
get_highlights_by_color All highlights of one color across entire library
search_highlighted_text Search annotations by highlighted text
search_notes Search by user-written notes
list_all_annotations All annotations across all books
list_all_collections List collections
get_collection_books Books in a collection
describe_book / describe_collection Details by ID
recent_annotations Recently created annotations
full_text_search Full text search across books

Critical: Color Extraction Strategy

get_book_annotations does NOT return colors. describe_annotation returns colors but one at a time — 150+ calls for a single book.

Solution: Call get_highlights_by_color once per color (5 total calls), then cross-reference annotation IDs programmatically.

Available colors: PINK, BLUE, YELLOW, GREEN, PURPLE
Underlines: color = null, is_underline = 1

Build the Color Map

import json, glob

# After calling get_highlights_by_color for PINK, BLUE, YELLOW, GREEN, PURPLE
# Results save to files when they exceed token limits

ann_color = {}
colors = ["PINK", "BLUE", "YELLOW", "GREEN", "PURPLE"]

for color_file, color in zip(sorted(glob.glob("path/to/results/*.txt")), colors):
    with open(color_file, 'r') as f:
        data = json.load(f)
    current_id = None
    for line in data.get("text", "").split("\n"):
        line = line.strip()
        if line.startswith("ID: "):
            current_id = line.split("ID: ")[1].strip()
        elif line.startswith("Selected text: ") and current_id:
            selected = line[len("Selected text: "):]
            if selected and selected != "None":
                ann_color[current_id] = color

# Look up: ann_color.get(str(annotation_id), None)  # None = underline

Read the full file on GitHub · 182 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 182 lines · 81 tokens per session scan A 1dd70ce7c90d

Subscribe to this mod's changes

apple-books-mcp is a skill published in the GitHub repository vladmdgolam/agent-skills (8 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 1,603 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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