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MCP Project
A comprehensive toolkit for converting, optimizing, and analyzing 3D models with a focus on performance and compatibility.
Features
-
Model Conversion
- SVG to GLTF/GLB conversion
- Support for multiple input formats
- Batch processing capabilities
-
Model Optimization
- Draco compression integration
- Mesh optimization and simplification
- Texture compression and resizing
- LOD (Level of Detail) generation
-
Analysis Tools
- Polygon count analysis
- Texture memory usage
- Performance metrics
- Compatibility checking
-
Model Viewer
- Real-time 3D preview
- Material and lighting adjustment
- Animation playback
- Scene composition tools
Getting Started
Prerequisites
# Install Node.js (v18 or higher recommended)
# Install required dependencies
npm install
Installation
# Clone the repository
git clone https://github.com/wenakita/mcp-project.git
# Navigate to project directory
cd mcp-project
# Install dependencies
npm install
# Start the development server
npm run dev
Usage
# Convert an SVG file to GLTF
npm run convert -- input.svg output.gltf
# Optimize a GLTF model with Draco compression
npm run optimize -- input.gltf output.gltf --draco
# Analyze a 3D model
npm run analyze -- model.gltf
# Start the model viewer
npm run viewer
Project Structure
mcp-project/
├── src/ # Source files
│ ├── converters/ # Model conversion logic
│ ├── optimizers/ # Optimization tools
│ ├── analyzers/ # Analysis utilities
│ └── viewer/ # 3D viewer application
├── public/ # Static assets
├── tests/ # Test files
└── docs/ # Documentation
Configuration
The project can be configured through environment variables or a config file:
COMPRESSION_LEVEL=9 # Draco compression level (0-10)
TEXTURE_MAX_SIZE=2048 # Maximum texture size
ENABLE_ANALYTICS=true # Enable usage analytics
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Three.js for 3D rendering capabilities
- Draco compression library
- Model optimization techniques from various open-source projects