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PopNx MCPMCP servers for people who use AI · explained in plain words

Pdfport

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/pdfport

Install

Overview

Description from the maker (original English)

Extract text and metadata from local PDFs, and merge or split PDF files.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add pdfport -- npx -y @reneturcios/pdfport mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2180 servers in this category
  • Published to the registry more recently than 80% of the other 2180 servers in this category
  • Basic checks equal to or better than 100% of the other 2180 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pdfport safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

Runs in the cloud★ 7,620MITUpdated 2 months ago
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Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

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

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

pdfport

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.

Scope — what the engine does and does not handle

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.

Install

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.

CLI

# Print the document's text

pdfport extract-text ./report.pdf

Print the Info-dictionary metadata (plus page count) as JSON

pdfport get-metadata ./report.pdf

Print page count, page sizes, file size and PDF version as JSON

pdfport get-pdf-info ./report.pdf

Merge inputs, in order, into one output file

pdfport merge ./combined.pdf ./a.pdf ./b.pdf ./c.pdf

Split into -page-1.pdf, -page-2.pdf, ... in a directory

pdfport split ./report.pdf ./report-pages

Start the MCP server

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.

MCP server

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"] } } }

Tools
ToolInputWhat it returns
extract_textfile_path (string, required)The file's text: every page's shown text, pages joined with a newline.
get_metadatafile_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_infofile_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_pdfsinput_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_pdffile_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.

Development

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.

License

MIT — see LICENSE.

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