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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Sezzlee PDF

作者:sezzlee版本 0.1.2i★ –i在你的电脑上运行
注册名称io.github.sezzlee/pdf

安装

概览

作者提供的说明(英文原文)

Extract text from local PDF documents with optional pluggable OCR. Read-only, no network.

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: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 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": {
    "pdf": {
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/pdf-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add pdf -- npx -y @sezzlee/pdf-mcp

这个服务器需要在启动命令中填入值,请复制设置后自行填写。

或者自己复制设置

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

{
  "mcpServers": {
    "pdf": {
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/pdf-mcp"
      ]
    }
  }
}

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。

这个服务器需要在启动命令中填入值,请复制设置后自行填写。

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "pdf": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sezzlee/pdf-mcp"
      ]
    }
  }
}

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。

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 sezzlee 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“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2177 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2177 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 2177 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

Sezzlee PDF 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(0.1.2)于26天前进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT3天前更新
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。

@sezzlee/pdf-mcp

A read-only, sandboxed MCP server for local PDF documents. It builds on @sezzlee/file-core, which supplies sandbox path resolution, the response budget, the error envelope, cursors and the document cache. Text extraction uses @firecrawl/pdf-inspector. The server never reaches the network: OCR is optional, and when it is enabled, the connection decision belongs entirely to whoever supplies the two injected ports.

Quick start

{

"mcpServers": { "pdf": { "command": "npx", "args": ["-y", "@sezzlee/pdf-mcp", "/path/to/documents"] } } }

To enable OCR, point --ocr at a module whose default export is an OcrBinding (see Configuration and OCR):

{

"mcpServers": { "pdf": { "command": "npx", "args": [ "-y", "@sezzlee/pdf-mcp", "/path/to/documents", "--ocr", "/path/to/ollama-binding.js" ] } } }

Tools

ToolWhat it doesKey arguments
list_documentsLists readable PDF candidates under the root; never opens a filesubdirectory, pattern, maxResults
describe_documentPage count, document type, per-page OCR need, server capabilitiesfilePath
read_pagesReads selected pages as Markdown, page numbers 1-basedfilePath, pages, maxPages, ocr, cursor
find_in_documentLiteral search over extracted text, with page number and match contextfilePath, query, matchMode, caseSensitive, ocr, cursor

If the file path is already known, describe_document is optional: read_pages and find_in_document work from filePath alone.

Configuration

CLI (sezzlee-pdf [--ocr ]):

ArgumentDefaultMeaning
requiredSandbox root; every readable path is resolved and checked against it.
--ocr nonePath or package specifier to a module whose default export is { rasterizer, provider }. Absent means no OCR: read_pages/find_in_document refuse ocr: true and describe_document reports capabilities.ocr: false.

Programmatic (createPdfMcpServer(root, options)):

OptionDefaultMeaning
documentCacheSize2Extracted documents held in memory at once, 1–16. A budget, not a guard: each cached document holds every page's Markdown on the heap.
maxConcurrentListings4Concurrent list_documents calls before a request is refused.
maxConcurrentExtractions2Concurrent PDF extractions before a request is refused.
ocrnoneAn OcrBinding ({ rasterizer, provider, dpi?, maxPagesPerCall?, timeoutMs? }). Neither port is a dependency of this package.

OCR

The server does not perform OCR; it supports it. Two ports are injected — neither the raster library nor the model client is a dependency of this package.

interface PageRasterizer {

render(job: { bytes: Buffer; pages: readonly number[]; dpi: number; signal?: AbortSignal; }): Promise ; // { page, image, mediaType } }

interface OcrProvider { readonly name: string; recognize(job: { pages: readonly RenderedPage[]; signal?: AbortSignal; }): Promise ; // { page, markdown, confidence? } }

The server does exactly this: it renders the pages the text layer could not answer, recognizes the resulting images, substitutes the result for that page, and marks it source: "ocr".

Programmatic binding:

createPdfMcpServer(root, {

ocr: { rasterizer: pdfjsRasterizer, provider: ollamaProvider, dpi: 200 }, });

CLI binding — a module whose default export matches OcrBinding, loaded with --ocr (see examples/ollama-binding.ts in this package for a working example built from @sezzlee/pdf-raster-pdfjs and @sezzlee/ocr-ollama):

import { createPdfjsRasterizer } from "@sezzlee/pdf-raster-pdfjs";

import { createOllamaOcrProvider } from "@sezzlee/ocr-ollama"; import type { OcrBinding } from "@sezzlee/pdf-mcp";

const binding: OcrBinding = { rasterizer: createPdfjsRasterizer(), provider: createOllamaOcrProvider({ baseUrl: process.env["SEZZLEE_PDF_OCR_URL"] ?? "http://127.0.0.1:11434", model: process.env["SEZZLEE_PDF_OCR_MODEL"] ?? "deepseek-ocr:3b", }), dpi: 200, };

export default binding;

OCR rules
  • `ocr: true` with no provider bound is an error (ocr_unavailable), never a silent fall back to the text layer. Otherwise an agent that asked for OCR could mistake "nobody transcribed this document" for "no match". describe_document → capabilities.ocr reports whether one is bound.
  • An empty transcription does not count as an answer. If the provider returns empty text, the page stays needsOcr — "the model returned nothing" is not the same as "this page is blank".
  • An unrequested page is ignored. The ports may reorder, skip, or invent pages; results are matched to the page number that was requested, so a provider cannot overwrite a page the text layer already trusted.
  • Bytes leave the process. Binding a provider means those pages' pixels go somewhere else. OCR therefore defaults to off and is requested explicitly on every call.
  • A page is not re-transcribed on every call. Transcriptions are cached by document fingerprint plus page number. The cache is not a progress log: a search sends only the pages after the cursor to OCR and carries coverage forward in the cursor, so even a large document is eventually walked to the end from cache.
  • An expired job does not release its slot. Neither the engine nor an injected port can cancel work that has already started; the slot stays held until the work actually finishes. A provider that never returns can only be recovered by restarting the server — reclaiming the slot on a timer would only postpone the limit.

Rules

  • Every page number on the public surface is 1-based. The underlying library returns some fields 0-based and others 1-based within the same result object. The whole conversion lives in src/engine/, and lint bans importing @firecrawl/pdf-inspector outside that folder — a second import site would reintroduce the bug (measured on 1.23.0: PageMarkdownResult.page is 0-based, sibling pagesNeedingOcr is 1-based).
  • Page selection is validated before it reaches the library. An out-of-range index otherwise comes back as a phantom page marked needsOcr; a negative index wraps through u32. Both would look like a real page to the agent.
  • `describe_document` never builds its OCR page list from the classifier. classifyPdf marks every page of a document that contains a single scanned page. The list comes from the per-page extraction instead. classificationConfidence is confidence in the classifier's own verdict, not in any extracted text's accuracy.
  • An unreadable page is never presented as an empty one. A scanned page returns `needsOcr:

true; empty is true` only for a page the engine trusted and found genuinely blank.

  • Search coverage is reported on every response. When any page needs OCR, coverageComplete is false, and an empty match list is not proof the query is absent from the whole document.
  • A document is extracted once, in full; the response is paginated. Measurement showed that requesting a single page cuts extraction cost by a third, not 200-fold — the fixed cost dominates. Cursor identity depends on document content and OCR mode, not page size. An explicit pages selection is preserved across a cursor: it carries forward the rest of that selection and never wanders into unselected pages. A cursor resuming inside a page carries that page's text fingerprint; if the text changed since transcription, the response is stale_cursor rather than silently skipping content.
  • The server never reaches the network. fetch, node:http, node:net and their siblings are lint-banned inside src/, and the ban is repeated in every layer's override — a later oxlint override replaces no-restricted-imports rather than merging with it, so a single top-level ban would not apply everywhere.
  • Platform support is narrow. The engine ships no darwin-x64 binary and its wasm fallback is unpublished. On an unsupported host the server stops at startup with a one-line message (exit code 3).

Development

pnpm turbo run build --filter=@sezzlee/pdf-mcp

node packages/servers/pdf-mcp/dist/cli.js /path/to/documents

Tests: pnpm turbo run test --filter=@sezzlee/pdf-mcp (Vitest). A live-Ollama suite (test/ocr-live.spec.ts) is skipped unless SEZZLEE_PDF_OCR_URL is set; it also reads SEZZLEE_PDF_OCR_MODEL (default deepseek-ocr:3b). Everything else in test/ocr.spec.ts runs against fake ports; the live suite only proves the two real adapters compose.

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