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MCP server · Content

NanoPDF

AI-powered PDF editing and generation MCP server using Gemini Pro.

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About NanoPDF

NanoPDF is an MCP server in the Content category: aI-powered PDF editing and generation MCP server using Gemini Pro.

Install

From source
git clone https://github.com/R09722akaBennett/nano-pdf-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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  • ✓README presentThe repository ships documentation.

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README

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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About NanoPDF

How do I install NanoPDF?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is NanoPDF safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is NanoPDF still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.