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 and metadata from local PDFs, and merge or split PDF files.
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": {
"pdfport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfport",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add pdfport -- npx -y @reneturcios/pdfport mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pdfport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfport",
"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": {
"pdfport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/pdfport",
"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7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。
pdfport does the five PDF jobs that come up over and over: pull the text out of a file, read its document metadata, summarise it (pages, page sizes, file size, PDF version), merge several files into one, and split a file into one document per page. It works on local files only — nothing is uploaded anywhere.
The engine is a small, genuine PDF implementation written in pure TypeScript for this project. No PDF library is bundled and there are no runtime dependencies beyond the MCP SDK. The engine scans a document's indirect objects, follows the Catalog to its Pages tree, decodes plain and FlateDecode content streams, and recovers text from the standard text-showing operators. Merges renumber the source objects into one new object graph with a rebuilt page tree; splits emit one document per page the same way; both write a freshly computed cross-reference table.
Supported: simple PDFs with a flat page tree (a Catalog whose Pages node lists Page objects directly — the shape common generators produce, and the shape pdfport's own merge/split write), uncompressed or FlateDecode streams, literal and hex strings in content and in the Info dictionary, and per-page MediaBox sizes (inherited from the Pages node when a page omits its own).
Not supported: encrypted files, object streams and compressed cross-reference streams (PDF 1.5+ compact files), nested page trees, embedded-font encodings that need a ToUnicode map to read, and form/annotation fidelity on merge or split. Files outside the subset fail with a plain error saying what was not found — pdfport never returns invented text or metadata.
npx @reneturcios/pdfport get-pdf-info ./report.pdf
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/pdfport
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
# Print the document's text
pdfport extract-text ./report.pdf
pdfport get-metadata ./report.pdf
pdfport get-pdf-info ./report.pdf
pdfport merge ./combined.pdf ./a.pdf ./b.pdf ./c.pdf
pdfport split ./report.pdf ./report-pages
pdfport mcp
pdfport --version
Exit codes: 0 on success, 1 when a file is missing or a document cannot be processed (the error says which), 2 for usage errors.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/pdfport mcp
MCP client configuration:
{
"mcpServers": { "pdfport": { "command": "npx", "args": ["-y", "@reneturcios/pdfport", "mcp"] } } }
| Tool | Input | What it returns |
|---|---|---|
extract_text | file_path (string, required) | The file's text: every page's shown text, pages joined with a newline. |
get_metadata | file_path (string, required) | The Info dictionary's title, author, subject, keywords, creator, producer and dates (only the fields the document carries), plus the page count. |
get_pdf_info | file_path (string, required) | Page count, each page's MediaBox size in points, the file size in bytes, and the PDF version from the header. |
merge_pdfs | input_files (array of strings, required), output_file (string, required) | Writes the merged document and reports the output path and total page count. The first input's metadata is kept. |
split_pdf | file_path (string, required), output_dir (string, required) | Writes one single-page file per page into the directory and reports the created file paths and page count. |
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx
The test suite builds small PDFs from raw strings — plain and FlateDecode content streams — and drives the default engine end-to-end: extraction (including TJ arrays and literal-string escapes), metadata, info, merge and split are all asserted against the real implementation, then the file facade is exercised against real files in a temporary directory.
MIT — see LICENSE.