mcp-openvto
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The mcp-openvto is an MCP SSE server designed for Virtual Try-On through LLM Chat, utilizing a back-end database hosted locally or via the cloud (Couchbase) and Replicate APIs.
The mcp-openvto project is a sophisticated Model Context Protocol (MCP) server that facilitates virtual try-on experiences through a seamless integration of various technologies. It leverages the power of Large Language Models (LLM) to provide an interactive chat-based interface for users to try on virtual clothing. The server can operate with a local database or utilize cloud services like Couchbase Capella, offering flexibility in deployment. The project is built using C++ to optimize performance and reduce dependency overhead, compared to previous implementations in Python. This choice of language also results in smaller Docker image sizes, making it more efficient for deployment. The server integrates several libraries and services, including cpp-mcp for MCP client and server functionalities, Eigen for mathematical computations, and Ollama for API bindings. The project is open for contributions and is licensed under the MIT License, encouraging community involvement and further development.
Features
- Virtual Try-On through LLM Chat
- Integration with Couchbase for database management
- Built with C++ for optimized performance
- Supports both local and cloud-based deployments
- Experimental regressive inference capabilities