Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Audit a local PDF against the machine-checkable basics of PDF/UA accessibility. No uploads.
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": {
"pdfaudit": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfaudit",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add pdfaudit -- npx -y @reneturcios/pdfaudit mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pdfaudit": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfaudit",
"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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"pdfaudit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfaudit",
"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 CloudCorpRecords 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(0.1.0)于3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, Docker。
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。
Some PDFs look fine on screen and are unusable with a screen reader: the text is there, but nothing says what order to read it in, images carry no descriptions, and the file may even be locked against the extraction assistive technology depends on. pdfaudit checks a local PDF against the machine-checkable basics of PDF/UA accessibility and reports exactly what it found, in a JSON report a caller can act on. The document is never uploaded — the audit reads the file from disk, runs entirely locally, and touches no network.
Seven checks run on every document. The document must be tagged (a /MarkInfo dictionary with /Marked true in the catalog) and must carry a structure tree (/StructTreeRoot). Its language must be set (a non-empty /Lang entry) and its title exposed (a non-empty /Title in the information dictionary; XMP metadata is not consulted). Every image must be reachable from a structure element that carries alt text. The reading order must be determinable, which requires the structure tree and at least one structure element. And the document must not be locked against assistive access: an unencrypted document passes, while an encrypted one passes only when its permission bits allow extraction in support of accessibility.
Each check reports a pinned id, a name, a pass or fail, and a detail string. The report counts the failures and picks a route for what to do next: already-compliant when nothing failed, ocr for a scanned document (no extractable text but at least one image), guaranteed for an untagged digital PDF that does carry extractable text, and repair for everything else — partially tagged or mixed documents that need targeted fixes. A one-line verdict summarises the pass count, the route, and the ids of any failed checks.
The audit works on a deliberately small reading of the PDF: plain object blocks are scanned for the catalog, the information dictionary, structure elements, image objects, and the encryption dictionary, and text is recovered from the Tj and TJ operators to inform the route decision. Files that cannot be read this way are reported honestly — a missing file, a file with no PDF header, and a file with no usable object structure each produce their own error rather than a misleading report.
npx @reneturcios/pdfaudit check_pdf_accessibility '{"file_path": "/path/to/document.pdf"}'
npx @reneturcios/pdfaudit --version
The report is printed as JSON:
{
"filePath": "/path/to/document.pdf", "checks": [ { "id": "tagged", "name": "Document is tagged", "passed": true, "detail": "MarkInfo/Marked is true" } ], "failed": 0, "route": "already-compliant", "verdict": "7/7 checks passed. Route: already-compliant." }
(The example above abbreviates the checks list; a real report always carries all seven entries.)
Exit codes: 0 on success, 1 on a runtime error (including an unparseable JSON argument, a missing file, or a file that is not an auditable PDF), 2 on a usage error.
npx -y @reneturcios/pdfaudit mcp
MCP client config:
{
"mcpServers": { "pdfaudit": { "command": "npx", "args": ["-y", "@reneturcios/pdfaudit", "mcp"] } } }
check_pdf_accessibility — Audit a local PDF against the machine-checkable basics of PDF/UA accessibility and return a JSON report. The document is never uploaded.file_path (string, required) — path to a local PDFReturns a single text item carrying the JSON report, pretty-printed with a 2-space indent, with keys in the order filePath, checks, failed, route, verdict. Each entry in checks carries id, name, passed, and detail in that order.
docker run -i ghcr.io/cloudcorprecords/pdfaudit
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/pdfaudit check_pdf_accessibility '{"file_path": "/w/document.pdf"}'
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (pure local, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios