Video & Audio Editing MCP Server

# 🤝 Contributing to Video & Audio Editing MCP Server Thank you for your interest in contributing to our video and audio editing MCP server! We're excited to have you join our community of developers who are passionate about making video and audio editing more accessible through AI assistants. ## 🌟 We Welcome All Contributions! Whether you're a seasoned developer or just getting started, there are many ways to contribute: - 🛠️ **New Tools & Features**: Add support for new video/audio processing libraries - 🐛 **Bug Fixes**: Help us squash bugs and improve reliability - 📚 **Documentation**: Improve our guides, examples, and API documentation - 🧪 **Tests**: Add test coverage for existing or new functionality - 💡 **Ideas**: Share suggestions for new features or improvements - 🎨 **Examples**: Create tutorials, demos, or use case examples ## 🚀 Beyond FFmpeg: Expanding Our Toolkit While FFmpeg is our current foundation, we're **actively seeking contributions** that integrate other powerful audio and video processing tools: ### 🎬 Video Processing Libraries - **OpenCV**: Computer vision, object detection, image processing - **MoviePy**: Python-based video editing with effects and transitions - **Pillow/PIL**: Advanced image manipulation and thumbnail generation - **ImageIO**: Multi-format image and video I/O operations - **Scikit-video**: Scientific video processing and analysis - **VidGear**: High-performance video processing framework ### 🎵 Audio Processing Libraries - **PyDub**: Simple audio manipulation and effects - **Librosa**: Music and audio analysis, feature extraction - **SoundFile**: Audio file I/O with support for many formats - **AudioSegment**: Audio editing and manipulation - **Essentia**: Real-time audio analysis and music information retrieval - **Madmom**: Music information retrieval and beat tracking ### 🤖 AI-Powered Tools - **Whisper**: Automatic speech recognition and transcription - **RIFE**: Real-time intermediate frame interpolation - **Real-ESRGAN**: AI-powered video upscaling - **Spleeter**: AI source separation for music - **DeepSpeech**: Speech-to-text conversion - **Tacotron**: Text-to-speech synthesis ### 🔧 Specialized Tools - **MediaInfo**: Detailed media file analysis - **ExifRead**: Metadata extraction from media files - **Wand**: ImageMagick binding for Python - **GStreamer**: Multimedia framework integration - **MLT**: Multimedia framework for video editing ## 📋 How to Contribute ### 1. 🍴 Fork & Clone ```bash # Fork the repository on GitHub, then clone your fork git clone https://github.com/YOUR_USERNAME/video-audio-mcp.git cd video-audio-mcp # Add the original repository as upstream git remote add upstream https://github.com/misbahsy/video-audio-mcp.git ``` ### 2. 🏗️ Set Up Development Environment ```bash # Using uv (recommended) uv sync # Or using pip python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt pip install -r requirements-dev.txt # If it exists ``` ### 3. 🌿 Create a Feature Branch ```bash # Create a descriptive branch name git checkout -b feature/add-opencv-face-detection # or git checkout -b fix/audio-conversion-bug # or git checkout -b docs/improve-installation-guide ``` ### 4. 🛠️ Make Your Changes #### Adding New Tools When adding support for a new library, please: 1. **Add the dependency** to `requirements.txt` or `pyproject.toml` 2. **Create new MCP tools** following our existing patterns 3. **Include comprehensive error handling** 4. **Add detailed docstrings** with examples 5. **Write tests** for your new functionality #### Example: Adding a New Tool ```python @mcp.tool() def detect_faces_opencv(video_path: str, output_path: str, confidence_threshold: float = 0.5) -> str: """Detects faces in a video using OpenCV and draws bounding boxes. Args: video_path: Path to the input video file. output_path: Path to save the video with face detection boxes. confidence_threshold: Minimum confidence for face detection (0.0-1.0). Returns: A status message indicating success or failure. """ try: import cv2 # Your implementation here return f"Face detection completed successfully. Output saved to {output_path}" except ImportError: return "Error: OpenCV not installed. Please install with: pip install opencv-python" except Exception as e: return f"An unexpected error occurred: {str(e)}" ``` ### 5. 🧪 Test Your Changes ```bash # Run existing tests pytest tests/ # Run your specific tests pytest tests/test_your_new_feature.py -v # Test the MCP server manually python server.py ``` ### 6. 📝 Update Documentation - Add your new tools to the README's tool list - Include usage examples in the documentation - Update any relevant configuration examples ### 7. 🚀 Submit Your Pull Request ```bash # Commit your changes with a descriptive message git add . git commit -m "feat: add OpenCV face detection tool - Implements face detection using OpenCV's DNN module - Adds confidence threshold parameter - Includes comprehensive error handling and tests - Updates documentation with usage examples" # Push to your fork git push origin feature/add-opencv-face-detection ``` Then create a Pull Request on GitHub with: - **Clear title** describing what you've added - **Detailed description** of the changes and why they're useful - **Screenshots or examples** if applicable - **Testing notes** explaining how you've tested the changes ## 🎯 Contribution Guidelines ### Code Style - Follow **PEP 8** Python style guidelines - Use **type hints** for function parameters and return values - Write **clear, descriptive variable names** - Include **comprehensive docstrings** for all functions ### Error Handling - Always include **try-catch blocks** for external library calls - Provide **helpful error messages** that guide users to solutions - **Gracefully handle** missing dependencies with clear installation instructions ### Testing - Write **unit tests** for all new functionality - Include **integration tests** for complex workflows - Test **error conditions** and edge cases - Ensure tests are **deterministic** and **reproducible** ### Documentation - Update the **README** with new tools and examples - Include **usage examples** in docstrings - Add **configuration notes** if new dependencies are required - Update **troubleshooting** sections if needed ## 💡 Ideas for Contributions ### 🔥 High-Impact Features - **AI-powered video enhancement** (upscaling, denoising, colorization) - **Automatic subtitle generation** using speech recognition - **Smart video summarization** and highlight detection - **Real-time video effects** and filters - **Audio enhancement** and noise reduction - **Batch processing** capabilities for multiple files ### 🎨 Creative Tools - **Advanced transitions** and effects library - **Motion graphics** and animation support - **Green screen** and chroma key processing - **360-degree video** editing capabilities - **Live streaming** integration - **Interactive video** features ### 🔧 Developer Experience - **Configuration management** for different environments - **Plugin system** for easy extension - **Performance monitoring** and optimization - **Caching mechanisms** for faster processing - **Progress tracking** for long-running operations - **Parallel processing** support ## 🤔 Questions or Need Help? Don't hesitate to reach out if you need assistance: - 💬 **GitHub Discussions**: Ask questions and share ideas - 🐛 **GitHub Issues**: Report bugs or request features - 📧 **Email**: Contact the maintainers directly ## 🏆 Recognition All contributors will be: - **Listed** in our contributors section - **Credited** in release notes for their contributions - **Invited** to join our contributor community - **Eligible** for special contributor badges ## 📜 Code of Conduct We are committed to providing a welcoming and inclusive environment for all contributors. Please be: - **Respectful** and considerate in all interactions - **Constructive** when providing feedback - **Patient** with newcomers and those learning - **Collaborative** in working towards common goals ## 🎉 Thank You! Every contribution, no matter how small, makes this project better for everyone. We appreciate your time, effort, and creativity in helping us build the most comprehensive video and audio editing MCP server possible! --- **Happy coding! 🚀✨**