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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

NanoPDF

r09722akabennett/nano-pdf-mcp
1authSTDIOregistry active
Summary

Plugs Gemini Pro into Claude Desktop for AI-powered PDF manipulation. You get three main operations: open a PDF to start a session, edit existing pages with natural language prompts, and generate new pages that match the visual style of your document. Under the hood it uses poppler for rendering, Tesseract OCR to keep text layers searchable, and stores all versions locally in an output directory. The undo system lets you roll back changes without fear. You'll need a Gemini API key and system dependencies installed, but once configured it runs entirely on your machine. Built on the original NanoPDF project, adapted for MCP workflows.

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NanoPDF MCP Server

NanoPDF MCP Server is a Model Context Protocol (MCP) implementation that brings AI-powered PDF editing and generation capabilities directly to Claude Desktop. It enables users to modify existing PDF pages or generate new ones using Google's Gemini 3 Pro model, all within a privacy-focused local environment.

🚀 Key Features

  • AI-Driven Editing: Modify PDF slides using natural language prompts.
  • Smart Generation: Create new, visually consistent slides after any page.
  • Visual Previews: View specific PDF pages as high-quality images.
  • Privacy First: All versioning and temporary files are stored locally on your machine.
  • State Preservation: Uses Tesseract OCR to maintain searchable text layers in AI-generated pages.
  • Version Control: Built-in undo functionality for safe experimentation.

📋 Prerequisites

System Dependencies

The server requires poppler (for PDF rendering) and tesseract (for OCR) installed on your system.

  • macOS (Homebrew):
    brew install poppler tesseract
    
  • Ubuntu/Debian:
    sudo apt-get install poppler-utils tesseract-ocr
    

Environment Variables

A Google Gemini API key is required to power the AI features.

  • GEMINI_API_KEY: Your Google AI Studio API key.

🛠️ Installation & Setup

1. Development Environment

This project uses uv for lightning-fast Python package management.

# Navigate to the server directory
cd mcp-server

# Install dependencies
uv sync

2. Configure Claude Desktop

Add the NanoPDF server to your Claude Desktop configuration:

Path: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "nanopdf": {
      "command": "/Users/username/.local/bin/uv", # replace with your uv path
      "args": [
        "run",
        "--directory",
        "/Users/username/nano-pdf-mcp/mcp-server", # replace with your mcp-server path
        "server.py"
      ]
    }
  }
}

[!IMPORTANT] Change username to your actual macOS username. Ensure the --directory path is the absolute path to your mcp-server folder.

📖 Usage Guide

For detailed tool descriptions and workflow examples, please refer to the Usage Guide.

Core Workflow

  1. Open PDF: open_pdf(pdf_path="/path/to/document.pdf")
  2. Edit/Add: edit_pdf_page(session_id="...", page_number=1, prompt="...")

📂 Project Structure

  • mcp-server/: Core MCP server implementation.
    • server.py: Main entry point and tool definitions.
    • mcp_pdf_utils.py: PDF processing, OCR, and rendering logic.
    • mcp_ai_utils.py: Gemini Pro Vision API integration.
    • history_manager.py: Local session and version history tracker.
    • output/: Local storage for sessions and previews.
  • LICENSE: Project license (MIT).
  • USAGE.md: Detailed usage instructions and examples.

🤝 Acknowledgements

Based on the original NanoPDF project. Adapted for the Model Context Protocol.

📄 License

MIT License

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Configuration

GEMINI_API_KEY*secret

Google AI Studio API key for Gemini Pro

Categories
AI & LLM ToolsDocuments & Knowledge
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Packagedocker.io/taibennett/nano-pdf-mcp:0.1.0
TransportSTDIO
AuthRequired
UpdatedDec 24, 2025
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