# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [1.0.0] - 2024-12-10
### Added
- Initial release of Document Parser MCP
- Core document processing engine with Docling integration
- MCP server implementation with stdio transport
- Three processing pipelines: Standard, VLM, and ASR
- Intelligent pipeline auto-detection based on file type
- Job queue system for concurrent processing
- Task tracking and monitoring
- Configuration system with YAML support
- Support for multiple document formats:
- PDF documents
- Office files (DOCX, XLSX, PPTX)
- Images (PNG, JPEG, TIFF, BMP, WEBP)
- Audio files (MP3, WAV, M4A, FLAC)
- HTML and Markdown
- CSV and XML
- Five MCP tools:
- `parse_document`: Basic document parsing
- `parse_document_advanced`: Advanced parsing with detailed options
- `get_job_status`: Job status monitoring
- `list_supported_formats`: Format listing
- `get_queue_statistics`: Queue and processing statistics
- Comprehensive test suite with pytest
- CLI entry point for running the server
- MLX acceleration support for Apple Silicon
- OCR support with multiple engines (EasyOCR, Tesseract)
- Automatic file cleanup and resource management
- Download manager for processing remote URLs
- Extensive documentation:
- README with features and usage
- Quick start guide
- Contributing guidelines
- Configuration examples
### Configuration
- Flexible YAML-based configuration
- Environment variable support
- Validation with Pydantic models
- Default configuration file included
### Developer Experience
- Type hints throughout codebase
- Comprehensive docstrings
- Black code formatting
- Ruff linting
- pytest test framework
- Code coverage reporting
- Development requirements file
### Performance
- Concurrent job processing
- Memory management controls
- MLX acceleration for Apple Silicon
- Efficient file handling
- Background cleanup tasks
### Documentation
- Comprehensive README
- Quick start guide
- Contributing guidelines
- Inline code documentation
- Configuration examples
- Troubleshooting guides
## [Unreleased]
### Planned
- Additional processing pipeline options
- Enhanced error recovery mechanisms
- Performance optimizations
- Extended format support
- Batch processing capabilities
- Web UI for monitoring
- Docker containerization
- More comprehensive examples
---
## Release Notes
### Version 1.0.0
This is the first stable release of Document Parser MCP. The server provides a robust foundation for document processing through the Model Context Protocol, with support for a wide variety of document formats and processing options.
Key highlights:
- Production-ready MCP server
- Multiple processing pipelines
- Comprehensive format support
- Extensive test coverage
- Full documentation
We welcome contributions and feedback from the community!
