WaveSpeedAI/mcp-server
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WavespeedMCP is a Model Control Protocol (MCP) server implementation for WaveSpeed AI services, providing a standardized interface for image and video generation.
WavespeedMCP is a robust server implementation designed to facilitate seamless interaction with WaveSpeed AI's advanced image and video generation services. By leveraging the Model Control Protocol (MCP), it offers a standardized interface that simplifies the integration of WaveSpeed's capabilities into various applications. The server supports high-quality image generation from text prompts, including image-to-image transformations and inpainting, as well as dynamic video generation from static images. With optimized performance features such as intelligent API polling and detailed progress tracking, WavespeedMCP ensures efficient resource handling and comprehensive error management. It is highly configurable, supporting environment variables, command-line arguments, and configuration files, making it adaptable to diverse development environments. The server's architecture is modular, with components dedicated to server implementation, API client optimization, utility functions, and error handling, ensuring a clean and maintainable codebase.
Features
- Advanced Image Generation: Create high-quality images from text prompts with support for image-to-image generation, inpainting, and LoRA models.
- Dynamic Video Generation: Transform static images into videos with customizable motion parameters.
- Optimized Performance: Enhanced API polling with intelligent retry logic and detailed progress tracking.
- Flexible Resource Handling: Support for URL, Base64, and local file output modes.
- Comprehensive Error Handling: Specialized exception hierarchy for precise error identification and recovery.