# Project Status
## Document Parser MCP - Version 1.0.0
### Project Information
- **Author**: Kovidh Gandreti
- **License**: MIT
- **Status**: Production Ready
- **Last Updated**: December 10, 2024
### Implementation Status
#### ✅ Completed Components
1. **Core Infrastructure** (100%)
- Configuration system with Pydantic models
- Exception handling and error management
- Logging infrastructure
- Utility functions
2. **Document Processing Engine** (100%)
- DocumentProcessor with Docling integration
- Pipeline factory for Standard/VLM/ASR pipelines
- Download manager for remote files
- Fallback strategies and error recovery
3. **Job Management** (100%)
- Job queue system
- Task tracker with status monitoring
- Concurrent processing support
- Job lifecycle management
4. **MCP Server** (100%)
- Server implementation with stdio transport
- Tool definitions and handlers
- Five MCP tools fully implemented
- Background maintenance tasks
5. **Testing** (100%)
- Unit tests for configuration
- Utility function tests
- Processing component tests
- pytest configuration
6. **Documentation** (100%)
- Comprehensive README
- Quick start guide
- Contributing guidelines
- API reference
- Configuration examples
- Example scripts
- Changelog
7. **Developer Tools** (100%)
- Makefile for common tasks
- pyproject.toml configuration
- GitHub Actions workflows
- Issue and PR templates
- EditorConfig
### Features
#### Document Processing
- ✅ PDF processing with multiple backends
- ✅ Office document support (DOCX, XLSX, PPTX)
- ✅ Image processing with OCR
- ✅ Audio transcription with ASR
- ✅ HTML and Markdown processing
- ✅ Auto-pipeline detection
- ✅ MLX acceleration support
#### MCP Integration
- ✅ Basic document parsing tool
- ✅ Advanced parsing with detailed options
- ✅ Job status monitoring
- ✅ Supported formats listing
- ✅ Queue statistics
#### Configuration
- ✅ YAML-based configuration
- ✅ Multiple configuration presets
- ✅ Runtime validation
- ✅ Environment support
### Code Quality Metrics
- **Test Coverage**: Comprehensive unit tests
- **Code Style**: Black formatted, Ruff linted
- **Type Hints**: Throughout codebase
- **Documentation**: Complete API docs
- **Modularity**: Well-organized package structure
### Project Structure
```
document-parser-mcp/
├── document_parser/ # Main package
│ ├── config/ # Configuration system
│ ├── core/ # Core exceptions
│ ├── engine/ # Processing engine
│ ├── mcp/ # MCP server
│ ├── processing/ # Job management
│ └── utils/ # Utilities
├── tests/ # Test suite
├── examples/ # Example scripts and configs
├── docs/ # Documentation
└── .github/ # GitHub templates and workflows
```
### Deployment Readiness
#### Ready for Production
- ✅ Stable API
- ✅ Error handling
- ✅ Logging and monitoring
- ✅ Resource management
- ✅ Comprehensive documentation
- ✅ Example configurations
- ✅ CI/CD workflows
#### Recommended Next Steps for Users
1. Install dependencies
2. Configure for your environment
3. Integrate with Claude Desktop
4. Start processing documents
### Known Limitations
- Requires Python 3.9+
- Large files may require significant memory
- VLM pipeline requires additional dependencies
- Some features specific to Apple Silicon (MLX)
### Support
- Issue tracking via GitHub
- Documentation in docs/
- Examples in examples/
- API reference in docs/API.md
### Version History
- **1.0.0** (2024-12-10): Initial release
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**Project Complete and Ready for Use!**
