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Workplace and productivity · MCP server

Apple Books: MCP server, setup and security

Apple Books is an open-source MCP server published on GitHub that lets an AI agent access Apple Books library, annotations, reading progress and highlights. Its repository has 63 stars and its last commit is from October 16, 2026 and it is licensed under Apache-2.0.

Actively maintained

What Apple Books does

According to its repository: “Access your Apple Books library, annotations, reading progress, and highlights through Claude”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Apple Books is listed under Workplace and productivity, a category of 54 servers in the directory, where it ranks #10 by stars.

Topics declared by the repository: apple, apple-books, productivity.

Installing and connecting Apple Books

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)
  • MCPB bundle (one-click install in Claude Desktop)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Apple Books. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 6, 2025, the vgnshiyer/apple-books-mcp repository has 63 stars and 9 forks, with 0 open issues. It has more stars than 57% of the servers in the directory. It received changes this month. Version published in the registry: 0.9.0 (October 1, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Google workspace MCPGoogle workspace MCP : 3.4K3.4KCrosspaste desktopCrosspaste desktop : 2.7K2.7KBoss agent cliBoss agent cli : 2.1K2.1KMCP gsuiteMCP gsuite : 491491Workopia — Job SearchWorkopia — Job Search : 314314Autopilot jobhuntAutopilot jobhunt : 217217Zero SlopZero Slop : 147147Caldav MCP (dominik1001)Caldav MCP (dominik1001) : 105105Apple BooksApple Books : 6363
GitHub stars of the most followed servers in the category (log scale); Apple Books in orange. Checked October 25, 2026.

Verdict

Apple Books is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install Apple Books?

Apple Books is distributed as PyPI package (Python, started with uvx or pip) and MCPB bundle (one-click install in Claude Desktop). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of vgnshiyer/apple-books-mcp.

Is Apple Books free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Apple Books safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by vgnshiyer on GitHub. Check who maintains it before giving it access.

What are the alternatives to Apple Books?

In the same category: Crosspaste desktop, Google workspace MCP, Workopia — Job Search, and Boss agent cli. Crosspaste desktop and Google workspace MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score