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.

Powered by Google's Gemini API. You'll need a free API key from Google AI Studio.

Native Install (Recommended)

macOS / Linux:

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

Windows (PowerShell):

`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

| Platform | Install Directory |
|----------|-------------------|
| macOS | ~/Library/Application Support/pdf-analyzer/ |
| Linux | ~/.pdf-analyzer/ |
| Windows | %LOCALAPPDATA%\pdf-analyzer\ |

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

`bash
pdf-analyzer --update
`

Alternative: Install via npm

For developers who prefer npm:

`bash
npm install -g @intelligentelectron/pdf-analyzer
`

Or use with npx (no installation required):

`bash
npx @intelligentelectron/pdf-analyzer --help
`

Requires Node.js 20+.

To update:

`bash
npm update -g @intelligentelectron/pdf-analyzer
`

Get Your Gemini API Key

1. Go to Google AI Studio
2. Create a new API key (free tier available)
3. Copy your API key, we will use it to setup the MCP in the next section

Connect the MCP with your favorite AI tool

After installing the MCP with one of the methods above, you can connect it to your AI agent of choice.

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Install Claude Code, then run:

`bash
claude mcp add --scope user --env GEMINI_API_KEY=your-key pdf-analyzer -- pdf-analyzer
`

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Install OpenAI Codex, then run:

`bash
codex mcp add pdf-analyzer --env GEMINI_API_KEY=your-key -- pdf-analyzer
`

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Install Gemini CLI, then run:

`bash
gemini mcp add --scope user -e GEMINI_API_KEY=your-key pdf-analyzer pdf-analyzer
`

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Download VS Code

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

`json
{
"servers": {
"pdf-analyzer": {
"type": "stdio",
"command": "pdf-analyzer",
"env": {
"GEMINI_API_KEY": "your-key"
}
}
}
}
`

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

> Warning: Do not commit .vscode/mcp.json to version control — it contains your API key. Add it to your .gitignore.

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

| Platform | Binary |
|----------|--------|
| macOS (Apple Silicon) | pdf-analyzer-darwin-arm64 |
| macOS (Intel) | pdf-analyzer-darwin-x64 |
| Linux (x64) | pdf-analyzer-linux-x64 |
| Linux (ARM64) | pdf-analyzer-linux-arm64 |
| Windows (x64) | pdf-analyzer-windows-x64.exe` |

Documentation

See CONTRIBUTING.md for development guidelines.

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About

Created by Valentino Zegna

This project is hosted on GitHub under the IntelligentElectron organization.

License

Apache License 2.0 - see LICENSE