librarian

librarian

Enables browsing, searching, and quote verification of a local ebook library via MCP, providing deterministic RAG with no embeddings or network.

Category
Visit Server

README

<!-- mcp-name: io.github.Terobyte/librarian -->

📚 librarian

CI PyPI Python versions License MCP registry

Turn any ebook into clean, token-counted Markdown chapters — let Claude read your bookshelf over MCP and catch it misquoting your books. Deterministic RAG: no embeddings, no network, no API keys.

demo

Any input format — FB2, EPUB, DOCX, HTML, TXT/MD, text-layer PDF — becomes a directory of clean chapters with token counts. No network, no LLM, no randomness: the same input always produces byte-identical output.

Install

uv tool install librarian-cli
# or: pipx install librarian-cli

Offline contract: install and runtime need no network (the tokenizer's vocabulary is vendored in the package).

Quick start

lib ingest examples/*.epub
lib list
lib find curiouser
lib get <book-id> --budget 3000

Commands

Command Purpose
lib ingest <files…> [--force] [--no-keep-source] [--config cfg.toml] [--verbose] Process books into the library; prints a file · id · status · score table.
lib list [<book-id>] No argument — all books; with an id — that book's chapters (n, title, tokens, summary).
lib get <book-id> <spec> Print chapters by range (1-3,7) to stdout.
lib get <book-id> --budget N [--from K] Greedily print consecutive chapters from K while the token sum stays ≤ N.
lib find <query> [--limit 10] [--book <id>] [--reindex] [--json] Full-text search across chapters and titles/authors library-wide (bm25, snippets, RU/EN stemming).
lib info <book-id> JSON: book metadata + quality metrics.
lib doctor [<book-id>] No id — books in review and broken directories; with id — that book's report.
lib reingest --all [--config cfg.toml] [--verbose] Rebuild the library from source/ with the current code/config.
lib rm <book-id> Delete a book and rebuild the index.
lib serve [--library <path>] Stdio MCP server over the library.
lib verify "quote" [--book ID] [--json] [--limit N] Check a quote against one book or attribute it across the library.

Library root: --library <path> (or the LIB_HOME env var, default ./library). Data goes to stdout, diagnostics to stderr. Exit codes: 0 success, 1 runtime error, 2 usage error.

Give Claude your bookshelf

librarian-cli ships a built-in stdio MCP server with 6 read-only tools — list_books, list_chapters, find, get_chapters, book_info, verify_quote — so Claude can browse the catalog, search it, pull chapters under a token budget, and check its own quotes against the source on its own: deterministic RAG with no embeddings, no network, and no API keys.

Claude Code:

claude mcp add librarian --env LIB_HOME=$HOME/books -- uvx librarian-cli

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "librarian": {
      "command": "uvx",
      "args": ["librarian-cli"],
      "env": { "LIB_HOME": "/path/to/books" }
    }
  }
}

Verify quotes

An MCP server that catches Claude misquoting your books.

lib verify "quote" checks whether a quote actually appears in your library, verbatim — punctuation, case, ё/е, and markdown formatting don't count. Two modes:

  • Book mode (--book <id>): full scan of one book — "does this book actually say this?" Works without the search index.
  • Shelf mode (no --book): attribution across the whole library via FTS5 candidates — "which book is this from?" The quote needs at least 5 significant words (stop words don't count), or the check is skipped with verdict: null.
lib verify "Рукописи не горят" --book bulgakov-master-i-margarita
lib verify "рукописи не горят никогда"
verdict meaning
exact matches after normalization (punctuation/case/ё/typography don't count)
close similarity ≥ 0.95 — near-exact, differences shown as a word-diff
distorted similarity ≥ 0.75 — the right place, but the quote is misremembered
not_found similarity < 0.75 — nothing like it in the book/library
null check wasn't run: empty quote, or a short quote without --book

Exit codes (grep-style semantics, a deliberate departure from the project's usual "1 = runtime error" — see docs/MILESTONES.md deviation 38):

exit case stdout
0 exact / close — quote confirmed full report / JSON
1 distorted / not_found — not confirmed full report / JSON
1 runtime error (unknown book id, no search index, locked index) empty
2 usage error: empty/short quote (verdict: null), --limit < 1 empty (message on stderr)

Script discriminator: exit 1 with non-empty stdout means "checked, not confirmed"; exit 1 with empty stdout means an error (diagnostics went to stderr instead). Exit 0 includes close — a strict CI gate must check verdict == "exact" in the --json output, not the exit code alone.

Quality

Every book gets a score from five metrics (coverage, structure, garbage, encoding, dehyphenation): ok (score ≥ 0.90, no hard triggers) — saved silently; review (0.60 ≤ score < 0.90, or triggers present) — saved with a warning, details via lib doctor <id>; failed (score < 0.60) — not saved. Scans and password-protected PDFs honestly fail (OCR and DRM removal are out of scope).

Determinism

The pipeline has no network access, no LLM calls, and no randomness — the same input file always produces byte-identical output. That makes ingestion reproducible and cacheable, and it's what makes lib serve's RAG deterministic: no embeddings to drift, no model calls to vary between runs.

Limitations

  • PDF: works well on typographically normal books; complex layouts may land in review.
  • DRM is not circumvented; source legality is the user's responsibility.
  • Networked filesystems (NFS/SMB) are not supported (the advisory lock isn't reliable there).
  • MOBI/DJVU and text-less scans are not supported (v3 candidates: OCR, calibre).
  • CLI messages are currently in Russian; English output is planned.
  • lib verify: quotes spanning a chapter boundary are not supported (v1) — the best you'll get is distorted on one half.
  • lib verify: close on a single-word replacement is realistic from ~150 characters of quote; shorter quotes with a replaced word honestly land in distorted — a third of a three-word quote really is a distortion.
  • lib verify shelf mode (no --book) needs the FTS5 search index; book mode (--book <id>) works without it in the CLI. lib serve as a whole still requires FTS5 — it syncs the index at startup regardless of which tool gets called.
  • lib verify in book mode scans the whole chapter text in pure Python; a long book can take a few seconds of CPU. The MCP tool runs it in a worker thread so it doesn't block the rest of the server.

Русская версия

See README.ru.md for the Russian documentation.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured