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Terobyte/librarian-cli

by Various

πŸ“š Any ebook β†’ clean token-counted Markdown chapters. Let Claude read your bookshelf over MCP β€” and catch it misquoting your books. Deterministic RAG: no embeddings, no network, no

MCP

Terobyte/librarian-cli

Added 8 Sept 2026

#claude #cli #ebooks #epub #fb2 #llm #markdown #mcp

Overview

A Python CLI that converts ebooks into clean, token-counted Markdown chapters. It lets Claude read books over MCP and uses deterministic RAG with no embeddings, network, or API keys. Designed to catch misquotations by Claude.

Best for

Best for
Developers who want a deterministic, offline way to feed ebooks to Claude via MCP.

Use cases

  • Convert ebooks to Markdown chapters for LLM ingestion
  • Expose a bookshelf to Claude via MCP
  • Run deterministic retrieval without embeddings or external services

Notes

A Python CLI that converts ebooks into clean, token-counted Markdown chapters. It lets Claude read books over MCP and uses deterministic RAG with no embeddings, network, or API keys. Designed to catch misquotations by Claude.

2 stars on GitHub. Last updated 2026-09-01. Licensed MIT.

Use cases

  • Convert ebooks to Markdown chapters for LLM ingestion
  • Expose a bookshelf to Claude via MCP
  • Run deterministic retrieval without embeddings or external services

Pros

  • No external dependencies for retrieval (no embeddings, network, API keys)
  • Token-counted output helps manage context limits
  • Open source Python CLI

Cons

  • Very low community adoption (2 GitHub stars)
  • Focused on ebooks, not arbitrary document formats
  • Requires MCP setup for Claude integration

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • No external dependencies for retrieval (no embeddings, network, API keys)
  • Token-counted output helps manage context limits
  • Open source Python CLI

Cons

  • Very low community adoption (2 GitHub stars)
  • Focused on ebooks, not arbitrary document formats
  • Requires MCP setup for Claude integration

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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