bookorbit-mcp

bookorbit-mcp

An MCP server that allows LLMs to read and search the text of ebooks from Book Orbit, using a navigation-first approach with chapter listing and paginated text retrieval.

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README

bookorbit-mcp

An MCP server that exposes the text of your ebooks — managed by BookOrbit — to LLMs, so an assistant can answer questions about what happens inside a book without you copy-pasting chapters.

It is deliberately navigation-first: instead of dumping a whole 100k-word book into the model's context (which would overwhelm it), the server lets the model find a book, look at its chapter list, and pull only the pieces it needs.

How it works

BookOrbit stores raw EPUB files and exposes a reader backend (/epub/{bookId}/info + /epub/{bookId}/file/{path}). This server uses that backend to read a book's structure, fetch only the needed chapters, strip the XHTML to plain text, and cache the result on disk. Nothing is re-downloaded after the first read.

Three guardrails keep the model from drowning:

  1. Structure before textlist_chapters returns chapter labels and sizes, never the body.
  2. Bounded, paginated textget_chapter caps output (~24k chars) and pages through long chapters with offset / nextOffset.
  3. Snippet-only searchsearch_in_book returns short snippets plus a chapter index + offset the model can re-fetch precisely.

Tools

All tools are read-only.

Find & read book text

Tool What it does
search_books(query, limit?) Find books by title/author/series; returns bookId + formats + hasEpub.
get_book(bookId) Full metadata (description, series, genres, files).
list_chapters(bookId) Chapter list with per-chapter char/word counts (no text). Parses + caches on first call.
get_chapter(bookId, chapter, offset?, maxChars?) Plain text of one chapter, paginated.
search_in_book(bookId, query, maxResults?, caseSensitive?) Keyword search within a book → snippets + locations.

Discovery & browse

Tool What it does
get_related_books(bookId, kind) similar / same_series / same_author books for a book.
list_series(page?, size?) Library's series with book/read counts.
get_series_books(seriesId, page?, size?) Books in a series, in order.
list_authors(page?, size?) Library's authors with book counts.
get_author(authorId) One author, including their bio.
get_author_books(authorId, page?, size?) Books by an author.
list_collections() / get_collection(id) / get_collection_books(…) User collections, one collection's detail, and its books.
list_smart_scopes() / get_smart_scope_books(…) Saved dynamic filters and the books they match.
list_libraries() Libraries with per-library book/size/format stats.
suggest_metadata(kind, q) Typeahead over authors/series/genres/tags/publishers/languages/narrators/collections — resolve an exact name.
get_book_shelf(type, limit?) A curated shelf: recently-added, want-to-read, up-next-in-series, continue-reading/listening, random, smart-scope.
search_author_metadata(q, …) External provider author-bio candidates (enrichment, not your library).

Reading state & stats

Tool What it does
get_reading_progress(bookId) Per-file progress (+ audiobook progress) for a book.
list_currently_reading() Books you're reading now, with progress.
get_reading_sessions(bookId, page?, …) Reading-session history + aggregate stats for a book.
get_library_stats() Library-wide totals (books/authors/series/storage/…).
get_reading_stats() Your personal reading totals (started/completed/…).
get_library_statistic(kind, libraryIds?) One library-wide chart: distributions, top-authors/series, timelines, metadata-health gauges.
get_reading_statistic(kind, days?, …) One personal reading chart: peak-hours, favorite-days, heatmap, completion-latency, goal-trajectory, …
get_dashboard_widget(kind) One "headline card": reading-streak, reading-goal, year-projection, neglected-gems, library-overview, …

Annotations (your own highlights & notes)

Tool What it does
list_annotations(page?, pageSize?, bookId?) All highlights/notes across the library, paginated.
list_annotated_books() Which books have annotations, with counts.
get_annotations(bookId) One book's highlights/notes, in chapter order.

Images (returned as image content, not text)

Tool What it does
get_book_cover(bookId, size?) A book's cover image (full or thumbnail).
get_author_image(authorId, size?) An author's photo (full or thumbnail).

Typical flow: search_bookslist_chaptersget_chapter / search_in_book.

Requirements & scope

  • EPUB only (v1). Books without an EPUB file return a clear error from the text tools.
  • Auth: BookOrbit access tokens expire after ~15 minutes and there is no long-lived API key, so the server logs in with your username + password and refreshes / re-logs in automatically. A static BOOKORBIT_TOKEN is supported for quick tests but will not auto-refresh.
  • Single-user / local: it acts as the account you configure.

Configuration

Set these as environment variables (or in a local .env — see .env.example):

Variable Required Notes
BOOKORBIT_URL yes Base URL, e.g. https://bookorbit.example.com (trailing slash ok).
BOOKORBIT_USERNAME recommended Enables automatic token refresh.
BOOKORBIT_PASSWORD recommended
BOOKORBIT_TOKEN alternative Static Bearer token; dev/testing only (expires ~15 min).
CACHE_DIR optional Where extracted text is cached (default ~/.cache/bookorbit-mcp).

Install & build

npm install
npm run build

Use with a Claude client

Add to your MCP client config (e.g. Claude Desktop's claude_desktop_config.json, or claude mcp add). Point at the built entry and pass your credentials:

{
  "mcpServers": {
    "bookorbit": {
      "command": "node",
      "args": ["/absolute/path/to/bookorbit-mcp/dist/server.js"],
      "env": {
        "BOOKORBIT_URL": "https://bookorbit.example.com",
        "BOOKORBIT_USERNAME": "your-username",
        "BOOKORBIT_PASSWORD": "your-password"
      }
    }
  }
}

Development

npm test          # unit tests (offline; run against captured fixtures)
npm run typecheck # type-check only
npm run dev       # run the server from source over stdio

# Live checks against a real server (need .env with credentials):
node --import tsx scripts/smoke.mts      # exercises search → parse → chapter → search
node --import tsx scripts/mcp-check.mts   # drives the built server over the MCP stdio protocol

Design notes

  • Chapters follow the TOC, not raw files. A single EPUB spine file can bundle many chapters separated by #fragment anchors; the server resolves the table of contents into meaningful sections and slices each one by its anchor range.
  • Cache layout: ~/.cache/bookorbit-mcp/<bookId>/book.json (chapter list + sizes) and text/section-NNN.txt (extracted text per chapter).
  • Discovery, reading-state, stats, and annotation tools are live passthroughs to BookOrbit and are not cached (that data is mutable); only extracted EPUB text is cached.
  • Not included (v1): semantic/RAG search, cross-library content search, PDF/MOBI, and any write operations. The cache layout leaves room to add a cross-book index later.

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