原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Librarian

作者:Terobyte版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.Terobyte/librarian

安装

概览

作者提供的说明(英文原文)

Deterministic ebook-to-markdown pipeline with MCP tools to browse, search, and read your books.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "librarian": {
      "command": "uvx",
      "args": [
        "librarian-cli"
      ],
      "env": {
        "LIB_HOME": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add librarian --env LIB_HOME=your-value -- uvx librarian-cli

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "librarian": {
      "command": "uvx",
      "args": [
        "librarian-cli"
      ],
      "env": {
        "LIB_HOME": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "librarian": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "librarian-cli"
      ],
      "env": {
        "LIB_HOME": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • LIB_HOME env
    Library root directory (default ./library)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Terobyte 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7247 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7247 个服务器的 21% 更新
  • 基础检查结果等于或优于此分类中其他 7247 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Librarian 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.1)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

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

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

📚 librarian

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.

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 --budget 3000

Commands

CommandPurpose
lib ingest [--force] [--no-keep-source] [--config cfg.toml] [--verbose]Process books into the library; prints a file · id · status · score table.
lib list [ ]No argument — all books; with an id — that book's chapters (n, title, tokens, summary).
lib get Print chapters by range (1-3,7) to stdout.
lib get --budget N [--from K]Greedily print consecutive chapters from K while the token sum stays ≤ N.
lib find [--limit 10] [--book ] [--reindex] [--json]Full-text search across chapters and titles/authors library-wide (bm25, snippets, RU/EN stemming).
lib info JSON: book metadata + quality metrics.
lib doctor [ ]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 Delete a book and rebuild the index.
lib serve [--library ]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 (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 ): 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"

verdictmeaning
exactmatches after normalization (punctuation/case/ё/typography don't count)
closesimilarity ≥ 0.95 — near-exact, differences shown as a word-diff
distortedsimilarity ≥ 0.75 — the right place, but the quote is misremembered
not_foundsimilarity < 0.75 — nothing like it in the book/library
nullcheck 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):

exitcasestdout
0exact / close — quote confirmedfull report / JSON
1distorted / not_found — not confirmedfull report / JSON
1runtime error (unknown book id, no search index, locked index)empty
2usage error: empty/short quote (verdict: null), --limit < 1empty (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 ; 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 ) 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.

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