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

PDF Reader

by Xvvlnversion 0.2.1i★ –iRuns on your computer
Registry nameio.github.Xvvln/pdf-reader-mcp

Install

Overview

Description from the maker (original English)

MCP server for extracting text, images, tables, links, annotations, and metadata from 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

  • PyPIPython’s uv installed (for the uvx 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": {
    "pdf-reader": {
      "command": "uvx",
      "args": [
        "pdf-insight-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pdf-reader -- uvx pdf-insight-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pdf-reader": {
      "command": "uvx",
      "args": [
        "pdf-insight-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": {
    "pdf-reader": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pdf-insight-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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Xvvln, 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 2191 servers in this category
  • Published to the registry more recently than 13% of the other 2191 servers in this category
  • Basic checks equal to or better than 100% of the other 2191 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 PDF Reader 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 (0.2.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.

Runs on your computer★ 847MITUpdated 3 days ago
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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.

pdf-reader-mcp

一个用于读取和分析 PDF 文件的 MCP 服务器。它可以为支持 MCP(Model Context Protocol)的客户端提供 PDF 文本、页面图片、表格、链接、批注、目录、元数据和基础文本统计。

A PDF-focused MCP server for extracting text, rendered pages, tables, links, annotations, outlines, metadata, and text statistics from PDF files.

Package name

  • GitHub repository: pdf-reader-mcp
  • MCP Registry name: io.github.Xvvln/pdf-reader-mcp
  • PyPI package: pdf-insight-mcp
  • CLI commands: pdf-reader-mcp and pdf-insight-mcp

pdf-reader-mcp is the project name. The PyPI package is published as pdf-insight-mcp because the pdf-reader-mcp package name is not available on PyPI.

Features

ToolWhat it does
get_pdf_infoRead document metadata, page count, file size, and encryption status.
read_pdf_as_textExtract text from selected pages with page and character limits.
read_pdf_as_imagesRender selected pages as base64-encoded images.
get_pdf_outlineRead bookmarks and outline entries.
search_pdf_textSearch text and return per-match page context.
extract_pdf_tablesExtract structured tables when PyMuPDF can detect them.
extract_pdf_imagesExtract embedded PDF images.
get_pdf_page_infoInspect one page's size, text, images, links, and rotation.
extract_pdf_linksExtract external URLs and internal page jumps.
get_pdf_annotationsRead comments, highlights, and annotation metadata.
get_pdf_text_statsCompute text, line, paragraph, and scan-likelihood stats.
compare_pdf_pagesCompare text similarity between two pages.

Quick start

Install uv if you do not already have it:

curl -LsSf https://astral.sh/uv/install.sh | sh

Run the server directly from PyPI:

uvx pdf-insight-mcp

Or install it first:

python -m pip install pdf-insight-mcp

pdf-reader-mcp

MCP client configuration

Use the published PyPI package:

{

"mcpServers": { "pdf-reader": { "command": "uvx", "args": ["pdf-insight-mcp"] } } }

Use a local checkout for development:

{

"mcpServers": { "pdf-reader": { "command": "uv", "args": [ "--directory", "/absolute/path/to/pdf-reader-mcp", "run", "pdf-reader-mcp" ] } } }

Replace /absolute/path/to/pdf-reader-mcp with the absolute path to this repository on your machine.

Common usage

Ask your MCP client to call tools with an absolute PDF path. Example requests:

Read /Users/me/Documents/report.pdf as text.

Search /Users/me/Documents/report.pdf for "baseline characteristics". Render pages 1-3 of /Users/me/Documents/report.pdf as images. Extract links and annotations from /Users/me/Documents/review.pdf.

For large PDFs, prefer small page ranges first. For scanned or layout-sensitive PDFs, use read_pdf_as_images with a small pages range and moderate dpi.

Limits and behavior

  • read_pdf_as_text defaults to at most 50 pages and 200000 returned characters.
  • read_pdf_as_images rejects requests above 20 pages.
  • read_pdf_as_images defaults to an overall image payload cap of about 20 MB.
  • extract_pdf_images returns at most 20 embedded images but reports the actual detected total.
  • Encrypted PDFs are rejected unless they are already accessible without a password.
  • Scanned PDFs may have little or no extractable text. Use image rendering or OCR outside this server when needed.

Development

Install dependencies:

uv sync --extra dev

Run tests:

uv run pytest -q

Build the package:

uv build

uvx twine check dist/*

Run the local server:

uv run pdf-reader-mcp

Release

Releases are published through GitHub Actions.

Before the first release, configure PyPI Trusted Publishing with:

PyPI project name: pdf-insight-mcp

Owner: Xvvln Repository name: pdf-reader-mcp Workflow filename: publish.yml Environment name: leave empty

Then release by bumping versions in pyproject.toml and server.json, committing the change, and pushing a version tag:

git tag vX.Y.Z

git push origin main --tags

The Publish workflow runs tests, builds the Python package, publishes to PyPI, authenticates to the MCP Registry with GitHub OIDC, and publishes server.json.

Tech stack

  • Python 3.10+
  • MCP Python SDK
  • PyMuPDF
  • uv
  • pytest

License

MIT

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