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pdf-reader-mcp

A powerful MCP server for comprehensive PDF processing with OCR and diagram detection

0.1.1
pipPyPI
Maintainers
1

PDF Reader MCP Server

License: MIT Python 3.11+ PyPI version

A powerful Model Context Protocol (MCP) server that provides comprehensive PDF processing capabilities, including text extraction, OCR support, and network diagram detection. Designed to work seamlessly with Amazon Q Developer CLI and other MCP-compatible systems.

🚀 Features

  • Text Extraction: Extract text content from PDF files with high accuracy
  • PDF Analysis: Get comprehensive metadata (pages, document info, encryption status)
  • Page-Specific Processing: Extract text from specific pages
  • Multi-Language OCR: Support for Thai and English text recognition
  • Smart Processing: Automatically chooses between OCR and direct text extraction
  • Markdown Conversion: Convert PDF content to clean markdown format
  • Document Analysis: Determine if PDFs are scanned images or searchable text
  • Network Diagram Detection: Advanced capability to detect and extract network diagrams
  • MCP Integration: Seamless integration with Amazon Q Developer CLI

📦 Installation

The easiest way to use this MCP server is with uvx:

# Run directly without installation
uvx pdf-reader-mcp # your mcp client can now connect using both sse and stdio transport

# Or install globally
uvx install pdf-reader-mcp

Using pip

pip install pdf-reader-mcp

From Source

git clone https://github.com/zixma13/pdf-reader-mcp.git
cd pdf-reader-mcp
pip install -e .

📋 Prerequisites

  • Install Tesseract OCR (required for OCR functionality):

    # For macOS
    brew install tesseract
    brew install tesseract-lang  # For language support including Thai
    
    # For Ubuntu/Debian
    # sudo apt-get install tesseract-ocr
    # sudo apt-get install tesseract-ocr-tha  # For Thai language support
    
  • Install Python dependencies:

    pip install -r requirements.txt
    
  • Ensure you have the virtual environment activated:

    source .venv/bin/activate
    
  • Test the server:

    mcp dev main.py
    

Configuration for Amazon Q Developer CLI

Add the following to your ~/.aws/amazonq/mcp.json file:

  • in case you clone the git repository
{
  "mcpServers": {
    "pdf_reader": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/pdf_reader/pdf_reader",
        "run",
        "main.py"
      ]
    }
  }
}
  • in case you use uvx
{
  "mcpServers": {
    "pdf_reader": {
      "command": "uvx",
      "timeout": 60000,
      "args": [
        "pdf-reader-mcp"
      ]
    }
  }
}

Usage Examples

Once configured, you can use the PDF reader tools in Amazon Q:

Basic PDF Processing

  • To analyze a PDF and determine if it's a scanned image or searchable text:

    pdf_reader___analyze_pdf("/path/to/document.pdf")
    
  • To intelligently extract content from a PDF (automatically choosing between OCR and text extraction):

    pdf_reader___smart_extract_pdf("/path/to/document.pdf")
    
  • To intelligently convert a PDF to markdown:

    pdf_reader___smart_pdf_to_markdown("/path/to/document.pdf")
    
  • To extract text from a PDF:

    pdf_reader___read_pdf("/path/to/document.pdf")
    
  • To get metadata from a PDF:

    pdf_reader___get_pdf_metadata("/path/to/document.pdf")
    
  • To extract text from a specific page (0-indexed):

    pdf_reader___extract_pdf_page("/path/to/document.pdf", 0)
    
  • To extract text using OCR (supports Thai and English):

    pdf_reader___ocr_pdf("/path/to/document.pdf")
    
  • To extract text from a specific page using OCR:

    pdf_reader___ocr_pdf_page("/path/to/document.pdf", 0)
    
  • To convert PDF to markdown format:

    pdf_reader___pdf_to_markdown("/path/to/document.pdf")
    
  • To convert PDF to markdown format using OCR:

    pdf_reader___pdf_to_markdown("/path/to/document.pdf", use_ocr=True)
    

Keywords

mcp

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