PDF Analyzer MCP Server

The PDF Analyzer MCP Server gives AI agents the ability to read and analyze PDF documents, enabling document Q&A through natural conversations.

Supports multiple LLM providers: Google Gemini, Anthropic Claude, and OpenAI. Choose your preferred provider and model during setup.

Native Install (Recommended)

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/IntelligentElectron/pdf-analyzer/main/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/IntelligentElectron/pdf-analyzer/main/install.ps1 | iex

Why use the native installer:

• No dependencies — standalone binary, no Node.js required
• Auto-updates — checks for updates on startup
• Signed binaries — macOS binaries are notarized by Apple

Update

The server checks for updates on startup. To update manually:

pdf-analyzer --update

Alternative: Install via npm

For developers who prefer npm:

npm install -g @intelligentelectron/pdf-analyzer

Or use with npx (no installation required):

npx @intelligentelectron/pdf-analyzer --help

Requires Node.js 20+.

To update:

npm update -g @intelligentelectron/pdf-analyzer

Setup

After installing, run the interactive setup to choose your provider, model, and enter your API key:

pdf-analyzer --setup

You'll be prompted to choose from:

You can re-run --setup at any time to switch providers or models.

Connect the MCP with your favorite AI tool

After setup, connect the MCP to your AI agent of choice.

Claude Code

Install Claude Code, then run:

claude mcp add --scope user pdf-analyzer -- pdf-analyzer

OpenAI Codex

Install OpenAI Codex, then run:

codex mcp add pdf-analyzer -- pdf-analyzer

Gemini CLI

Install Gemini CLI, then run:

gemini mcp add --scope user pdf-analyzer pdf-analyzer

VS Code (GitHub Copilot)

Download VS Code

Add to .vscode/mcp.json in your project:

{
  "servers": {
    "pdf-analyzer": {
      "type": "stdio",
      "command": "pdf-analyzer"
    }
  }
}

Then enable it in Configure Tools (click the tools icon in Copilot chat).

Usage

Once connected, ask your AI assistant to analyze any PDF:

• "Analyze /path/to/document.pdf and summarize the key points"
• "What tables are in this PDF? Extract the data from table 2"
• "Compare the findings in sections 3 and 5 of this report"

The server accepts:

• Local file paths: /Users/name/docs/report.pdf
• URLs: https://example.com/document.pdf

Supported Platforms

Documentation

See CONTRIBUTING.md for development guidelines.

About

Created by Valentino Zegna

This project is hosted on GitHub under the IntelligentElectron organization.

License

Apache License 2.0 - see LICENSE