Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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。
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。
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。
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
注册名称已通过 GitHub 账户 sezzlee 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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 Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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。
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.
{
"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" ] } } }
| Tool | What it does | Key arguments |
|---|---|---|
list_documents | Lists readable PDF candidates under the root; never opens a file | subdirectory, pattern, maxResults |
describe_document | Page count, document type, per-page OCR need, server capabilities | filePath |
read_pages | Reads selected pages as Markdown, page numbers 1-based | filePath, pages, maxPages, ocr, cursor |
find_in_document | Literal search over extracted text, with page number and match context | filePath, 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.
CLI (sezzlee-pdf [--ocr ]):
| Argument | Default | Meaning |
|---|---|---|
| required | Sandbox root; every readable path is resolved and checked against it. |
--ocr | none | Path 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)):
| Option | Default | Meaning |
|---|---|---|
documentCacheSize | 2 | Extracted documents held in memory at once, 1–16. A budget, not a guard: each cached document holds every page's Markdown on the heap. |
maxConcurrentListings | 4 | Concurrent list_documents calls before a request is refused. |
maxConcurrentExtractions | 2 | Concurrent PDF extractions before a request is refused. |
ocr | none | An OcrBinding ({ rasterizer, provider, dpi?, maxPagesPerCall?, timeoutMs? }). Neither port is a dependency of this package. |
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_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.needsOcr — "the model returned nothing" is not the same as "this page is blank".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).needsOcr; a negative index wraps through u32. Both would look like a real page to the agent.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.true; empty is true` only for a page the engine trusted and found genuinely blank.
coverageComplete is false, and an empty match list is not proof the query is absent from the whole document.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.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.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).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.