booklore-MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@booklore-MCPrecommend a well rated thriller I have not read"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
booklore-MCP
An MCP server for BookLore. It lets any MCP-compatible assistant talk to your BookLore library: recommend books you already own, organize them into shelves, and send a book to your Kindle, all through BookLore's own REST API.
Because it speaks the open Model Context Protocol, it works with any MCP client, for example Claude Code, OpenAI Codex CLI, Cursor, Zed, and Windsurf. It runs over stdio and has no UI of its own.
What it can do
Tool | Purpose |
| List the genres/categories in your library with book counts |
| Search by genre, author, title, free text, minimum rating, or unread only |
| Full detail for one book (description, ratings, shelves) |
| List all shelves |
| Create a shelf (deduplicates by name) |
| Add books to a shelf by id or name (can auto-create) |
| List configured email recipients (for example Kindle addresses) |
| Send a book using BookLore's native send-to-Kindle email feature |
Typical requests, in natural language: "recommend a well rated thriller I have not read", "create a shelf called Summer and add these five", "send Shogun to my Kindle".
Rating note
In many libraries metadata.rating is empty and the real score lives in
goodreadsRating or amazonRating. This server computes an effective rating
(rating, then Goodreads, then Amazon) so that sorting and min_rating actually work.
Related MCP server: mcp-kindle
Requirements
Python 3.10 or newer
A reachable BookLore instance and a BookLore user account
For
send_to_kindle: an email provider (SMTP) and at least one recipient configured in BookLore (Settings, Email), and the sender address approved in Amazon's Approved Personal Document E-mail List
Install
git clone https://github.com/Giorgiofox/booklore-MCP.git
cd booklore-MCP
# install dependencies into a local ./libs folder (works without a virtualenv)
pip install --target ./libs -r requirements.txt
cp .env.example .env # then edit it
chmod 600 .envFill in .env:
BOOKLORE_URL=http://localhost:6060
BOOKLORE_USERNAME=your_user
BOOKLORE_PASSWORD=your_password
# set to false only if the TLS certificate is not valid on this host
BOOKLORE_VERIFY_SSL=truerun.sh loads .env, sets PYTHONPATH to ./libs, and starts the server over stdio.
Configure your MCP client
Point your client at run.sh.
Claude Code, Cursor, and similar (JSON):
{
"mcpServers": {
"booklore": {
"command": "/absolute/path/to/booklore-MCP/run.sh"
}
}
}OpenAI Codex CLI (~/.codex/config.toml):
[mcp_servers.booklore]
command = "/absolute/path/to/booklore-MCP/run.sh"Restart the client and approve the booklore server when prompted.
How it authenticates
It logs in with POST /api/v1/auth/login to obtain a JWT access token and refreshes it
automatically. Credentials stay local in .env, which is git-ignored and never committed.
License
MIT
This server cannot be installed
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