The Apple Books MCP server provides a Model Context Protocol interface for Apple Books, allowing you to interact with your book collections, highlights, and annotations through Claude AI. This server enables you to ask Claude questions about your reading history, get summaries of highlights, organize books by genre, and more.
The simplest way to run the Apple Books MCP server is through uvx:
# For macOS
brew install uv
uvx apple-books-mcp
You can also install the package with pip:
pip install apple-books-mcp
After installation, start the server with:
python -m apple_books_mcp
Add the following to your Claude Desktop configuration:
{
"mcpServers": {
"apple-books-mcp": {
"command": "uvx",
"args": [ "apple-books-mcp@latest" ]
}
}
}
If you prefer using Python directly:
{
"mcpServers": {
"apple-books-mcp": {
"command": "python",
"args": ["-m", "apple_books_mcp"]
}
}
}
The Apple Books MCP server provides several tools that Claude can use to interact with your Apple Books data:
With the Apple Books MCP server connected to Claude, you can:
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.