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Calibre MCP

by caelum29version 0.12.0i★ –iRuns on your computer
Registry nameio.github.caelum29/calibre-mcp

Install

Overview

Description from the maker (original English)

Calibre ebook library server: search, read content, curate metadata, semantic search, gated writes.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CALIBRE_MCP_SERVER_URL, CALIBRE_MCP_LIBRARY, CALIBRE_MCP_ENABLE_WRITE, CALIBRE_MCP_CALIBREDB_PATH

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "calibre": {
      "command": "npx",
      "args": [
        "-y",
        "calibre-mcp"
      ],
      "env": {
        "CALIBRE_MCP_SERVER_URL": "your-value",
        "CALIBRE_MCP_LIBRARY": "your-value",
        "CALIBRE_MCP_ENABLE_WRITE": "your-value",
        "CALIBRE_MCP_CALIBREDB_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add calibre --env CALIBRE_MCP_SERVER_URL=your-value --env CALIBRE_MCP_LIBRARY=your-value --env CALIBRE_MCP_ENABLE_WRITE=your-value --env CALIBRE_MCP_CALIBREDB_PATH=your-value -- npx -y calibre-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "calibre": {
      "command": "npx",
      "args": [
        "-y",
        "calibre-mcp"
      ],
      "env": {
        "CALIBRE_MCP_SERVER_URL": "your-value",
        "CALIBRE_MCP_LIBRARY": "your-value",
        "CALIBRE_MCP_ENABLE_WRITE": "your-value",
        "CALIBRE_MCP_CALIBREDB_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "calibre": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "calibre-mcp"
      ],
      "env": {
        "CALIBRE_MCP_SERVER_URL": "your-value",
        "CALIBRE_MCP_LIBRARY": "your-value",
        "CALIBRE_MCP_ENABLE_WRITE": "your-value",
        "CALIBRE_MCP_CALIBREDB_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • CALIBRE_MCP_SERVER_URL env
    Calibre Content Server base URL (default http://localhost:8080)
  • CALIBRE_MCP_LIBRARY env
    Library name; empty = auto-detect the server's default library
  • CALIBRE_MCP_ENABLE_WRITE env
    Set to 1 to enable the write tools (update/bulk-update/add/remove); off by default
  • CALIBRE_MCP_CALIBREDB_PATH env
    Path to the calibredb binary; empty = auto-discover the standard install location

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account caelum29, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5763 servers in this category
  • Published to the registry more recently than 80% of the other 5763 servers in this category
  • Basic checks equal to or better than 100% of the other 5763 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Calibre MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.12.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 3 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 23 days ago

Runs on your computer

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

📚 calibre-mcp

The most capable Calibre MCP server in existence — connect Claude (or any MCP client)

to your Calibre ebook library and search it by *meaning*, not

just keywords.

Ask your AI assistant *“which of my books explain consumer-group rebalancing?”* and get the exact chapter — across 800+ books or inside one. Curate metadata, dedupe, and safely edit your library, all through natural language.

One question → semantic search → 3D cover flow → book card → exact passage → figure viewer, all inside Claude Desktop (MCP Apps)

✨ Highlights

  • 19 tools covering the full surface: search, read content, browse categories, curate, and (opt-in) write — update metadata, bulk-edit, merge duplicates, import, delete, and manage bundles (named topical filters).
  • Semantic search — meaning-based, hybrid vector + keyword retrieval over your whole library *or inside a single book*. Multilingual (English + Russian verified, cross-lingual queries work). No other Calibre MCP server has this.
  • In-chat UI (MCP Apps) — in hosts that support MCP Apps (Claude Desktop), library searches render an interactive cover carousel, calibre_get_book a book detail card with cover, rating, and read/similar actions, and calibre_get_figures a figure viewer that shows you the same diagrams the assistant fetched. Text-only hosts are unaffected.
  • Curation tools — find duplicates with merge-safety scoring, audit metadata quality, and recover real metadata for books with raw filenames (795731065.pdf → *Fundamentals of Software Engineering*) via Open Library / Google Books.
  • Safe by default — read-only unless you explicitly enable writes; destructive operations preview first and require confirmation; all writes route through the Content Server so they never race the Calibre GUI.

📋 Requirements

  • Calibre with the Content Server running (in Calibre: *Connect/share → Start Content server*). Tested against Calibre 9.x; any recent version should work.
  • Node.js ≥ 22.16 for the npm/npx install (not needed for the Claude Desktop one-click bundle — Desktop ships its own runtime).
  • Optional, for best PDF text extraction: poppler's pdftotext (brew install poppler) or Python 3 with PyMuPDF (pip install pymupdf). Without them the server falls back to Calibre's ebook-convert.

🚀 Quick start

Easiest — let your agent install it for you

Grab the guided-installer skill and hand the whole job to your agent:

npx skills@latest add caelum29/calibre-mcp   # pick calibre-mcp-setup

Then tell your agent: "set up calibre-mcp". The calibre-mcp-setup skill drives everything below — preflight (Node, calibredb, Content Server), the Calibre-side config, the right install for your client (macOS/Windows/Linux), and a calibre_ping verification — asking you only the questions that are yours to answer (which client, writes on/off). Works in any Agent-Skills-compatible harness (Claude Code, Copilot, Amp, …). Prefer doing it by hand? Pick your client below.

Claude Code

MCP server only:

claude mcp add calibre -- npx -y calibre-mcp

Or install the plugin — server and the companion skills in one step, with a settings dialog (server URL, library, write gate) at install time:

/plugin marketplace add caelum29/calibre-mcp

/plugin install calibre-mcp@caelum29

Claude Desktop (one-click)

Download the .mcpb bundle from the latest release and open it — Claude Desktop installs it and prompts for settings (server URL, library, writes on/off). No terminal needed.

About the install warning. Claude Desktop shows *“Installing will grant this

extension access to everything on your computer… developer information has not been

verified by Anthropic”* for every extension installed from a file rather than the

built-in directory — it’s not specific to this one. The server runs as a local Node

process under your user account, exactly like the npx install below; the bundle is

built and published by CI from this repository, so you can audit what you’re running.

Click Install to proceed.

The bundle ships without the optional embeddings dependency to stay small, so the two

semantic-search tools report themselves unavailable. Metadata and full-text search work

fully. For semantic search, use the npx install below instead.

Claude Desktop (JSON config)

Add to claude_desktop_config.json:

{

"mcpServers": { "calibre": { "command": "npx", "args": ["-y", "calibre-mcp"] } } }

Cowork

Configure the server in Claude Desktop (either method above) — Desktop bridges local MCP servers into Cowork automatically. No extra setup.

Skills only — any agent (Claude Code, Codex, Cursor, …)

The repo's Agent Skills — a guided installer (calibre-mcp-setup), the calibre-mcp usage guide, and the two distill skills — install into any Agent-Skills-compatible harness with the skills.sh installer:

npx skills@latest add caelum29/calibre-mcp

Pick the skills and target agents interactively. Two philosophies, same as mattpocock/skills: skills.sh copies the files into your setup so you can hack on them; the Claude Code plugin (above) keeps them as a managed, auto-updating bundle. Either way the skills drive this MCP server's tools, so install the server too — or let the calibre-mcp-setup skill do it: it walks any agent through preflight, per-client install (macOS/Windows/Linux), and verification.

First contact — a five-prompt tour

The server auto-detects your default library; if the Content Server isn’t reachable it logs an actionable hint to stderr. Then try, in order:

  1. *“list my calibre libraries”* — connectivity sanity check.
  2. *“find books about Rust”* — metadata search; in Claude Desktop the results render as the cover carousel above.
  3. *“show me The Rust Programming Language”* — full metadata; renders as a book card with cover, rating, and per-format read buttons.
  4. *“show me figure 2.3 from the JWT Handbook”* — the figure arrives as an image for the assistant and, in Claude Desktop, in a figure viewer you can zoom and pan. If the first description doesn’t match what you see, ask *“look at the image — what does it actually show?”*: models sometimes answer figure questions from memory before reading the pixels (the tool result nudges them to look; see Troubleshooting).
  5. *“build the semantic index for my Kafka books”* — one-time prep for meaning-based search (see below).
  6. *“which of my books explain consumer-group rebalancing?”* — semantic search; answers with ranked books, or exact passages when scoped to one book.

Bonus: *“what’s wrong with my library?”* runs the quality audit (missing metadata, raw-filename titles, invalid ISBNs).

✍️ Enabling writes

Write tools (calibre_update_book, calibre_bulk_update, calibre_add_book, calibre_remove_book, calibre_merge_books, calibre_manage_bundles) are hidden by default — including calibre_manage_bundles' read-only list action, since the gate works per tool, not per action. Two independent switches must be on:

  1. The MCP-side gate — set CALIBRE_MCP_ENABLE_WRITE=1 (or tick *Enable writes* in the Desktop bundle settings). Without it the write tools are disabled — hidden from the tool list and uncallable.
  2. The Calibre-side gate — the Content Server must allow local writes. By default the server embedded in the Calibre GUI is read-only, so either enable the GUI option below or run a standalone server with --enable-local-write:
   # quit the Calibre GUI first (it holds the library lock), then:

calibre-server --enable-local-write --port 8080 "/path/to/Calibre Library"

Or enable it on the GUI-embedded server without quitting the app: open Calibre → Preferences → Sharing over the net → Advanced and tick “Allow un-authenticated local connections to make changes to the library” (i.e. permit local write access), then restart the Content Server from the GUI. This is the --enable-local-write equivalent for the embedded server.

With only the first switch on, write tools appear but Calibre refuses the write — the error message tells you exactly that. Reads work fine against the GUI-embedded server.

Safety behavior: calibre_bulk_update requires an explicit book selection (ids or query — there is no “all books” default) and previews changes until you pass preview: false. calibre_remove_book is a dry-run until you pass confirm: true; deletion removes records *and* files, permanently. calibre_merge_books shows its full merge plan until you pass confirm: true, and trashed sources stay recoverable from Calibre's trash (mode safe keeps them entirely). calibre_add_book only imports files from whitelisted folders (CALIBRE_MCP_ADD_ROOTS).

🔎 Semantic search

Deep dive: docs/SEMANTIC-SEARCH.md — how indexing, hybrid retrieval, and reranking work.

Meaning-based search is opt-in and needs two things:

  1. The embeddings dependency — @huggingface/transformers is an optionalDependencies entry, so a normal npx calibre-mcp / npm install gets it automatically. (Only the MCPB bundle excludes it.)
  2. An index — ask Claude to run calibre_build_index for the books you care about (by ids or a Calibre query). The first build downloads the embedding model (multilingual-e5-small, ~118 MB, one-time) into the index directory; after that everything runs offline. Indexing runs at roughly 100 chunks/sec on Apple Silicon.

[!IMPORTANT]

**Search results are sharpened by a cross-encoder reranker whose model is a separate

~576 MB one-time download.** calibre_build_index pre-downloads it during the build —

the step you already expect to be slow. If you skip straight to searching on a machine

without the cached model, your first hybrid/vector search triggers that download

instead. Reranking also adds seconds of CPU per semantic search; set

CALIBRE_MCP_RERANK=off to disable it (faster, noticeably less precise ranking).

Then calibre_semantic_search answers queries like *“which of my books explain consumer group rebalancing?”* — across the library (scope: library, ranks books) or within one book (scope: book, returns located passages). Retrieval is hybrid by default: vector cosine + stemmed keyword FTS, fused with reciprocal rank fusion, then rer

Only the beginning is shown; read the rest in the repo

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