doc-parser-mcp 0.1.0

MCP server for passport MRZ extraction and document parsing

Doc Parser MCP Server

A Model Context Protocol (MCP) server for passport MRZ (Machine Readable Zone) extraction and document parsing.

Features

• MRZ Extraction: Extract MRZ data from passport images
• MRZ Detection: Locate MRZ regions in passport images
• Text Parsing: Parse MRZ text into structured information
• Checksum Validation: Validate MRZ checksums
• Multiple Input Formats: Support file paths and base64 encoded images
• Fallback Processing: Works with or without external passport_mrz_extractor library

Installation

From PyPI (when published)

pip install doc-parser-mcp

From Source

git clone https://github.com/yourusername/doc-parser-mcp.git
cd doc-parser-mcp
pip install -e .

Dependencies

The server requires the following dependencies:

• mcp>=1.0.0 - Model Context Protocol framework
• opencv-python>=4.5.0 - Image processing
• numpy>=1.21.0 - Numerical operations
• Pillow>=8.0.0 - Image manipulation
• pytesseract>=0.3.8 - OCR functionality (optional, for fallback)

Optional Dependencies

• passport-mrz-extractor>=1.0.0 - Specialized passport MRZ extraction library

System Dependencies

For OCR functionality (fallback mode), you need Tesseract:

macOS:

brew install tesseract

Ubuntu/Debian:

sudo apt-get install tesseract-ocr

Windows: Download and install from Tesseract at UB Mannheim

Usage

As MCP Server

Run the server using stdio transport:

doc-parser-mcp

Available Tools

The server provides the following tools:

1. extract_passport_mrz

Extract MRZ data from a passport image.

Parameters:

• image_path (string): Path to the passport image file
• image_data (string): Base64 encoded image data (alternative to image_path)

Example:

{
  "image_path": "/path/to/passport.jpg"
}

2. detect_mrz_region

Detect and locate MRZ region in passport image.

Parameters:

• image_path (string): Path to the passport image file
• image_data (string): Base64 encoded image data (alternative to image_path)

3. parse_mrz_text

Parse MRZ text and extract structured information.

Parameters:

• mrz_text (string): Raw MRZ text (2-3 lines)

Example:

{
  "mrz_text": "P<UTOERIKSSON<<ANNA<MARIA<<<<<<<<<<<<<<<<<<<\nL898902C36UTO7408122F1204159ZE184226B<<<<<10"
}

4. validate_mrz_checksum

Validate MRZ checksums.

Parameters:

• mrz_line (string): MRZ line to validate

Example Output

MRZ Extraction Result

{
  "format": "TD3",
  "document_type": "P",
  "country_code": "UTO",
  "surname": "ERIKSSON",
  "given_names": "ANNA MARIA",
  "passport_number": "L898902C3",
  "nationality": "UTO",
  "birth_date": {
    "year": 1974,
    "month": 8,
    "day": 12,
    "formatted": "1974-08-12"
  },
  "sex": "F",
  "expiration_date": {
    "year": 2012,
    "month": 4,
    "day": 15,
    "formatted": "2012-04-15"
  },
  "personal_number": "ZE184226B",
  "check_digits": {
    "passport": "6",
    "birth": "2",
    "expiration": "9",
    "personal": "1"
  }
}

Supported Formats

MRZ Formats

• TD3: 3-line format (44 characters per line) - Standard passports
• TD1: 2-line format (30 characters per line) - ID cards

Image Formats

• JPEG
• PNG
• BMP
• TIFF

Development

Setup Development Environment

git clone https://github.com/yourusername/doc-parser-mcp.git
cd doc-parser-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

Running Tests

pytest

Code Formatting

black doc_parser_mcp/

Type Checking

mypy doc_parser_mcp/

Configuration

The server can be configured through environment variables:

• TESSERACT_CMD: Path to Tesseract executable (if not in PATH)
• MRZ_DEBUG: Enable debug logging (set to "1")

Limitations

• Image quality affects extraction accuracy
• Works best with clear, high-resolution passport images
• MRZ should be visible and not obstructed
• Some passports may have non-standard formats

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• passport_mrz_extractor - Primary MRZ extraction library
• OpenCV - Computer vision functionality
• Tesseract - OCR engine
• Model Context Protocol - Protocol framework

Support

For issues and questions:

• Create an issue on GitHub
• Check the documentation