MCP-Server-TEST1
The Venice AI Image Generator MCP Server is designed to integrate with Venice AI to facilitate image creation from text prompts via a controlled workflow. It allows user feedback for image approval and regeneration, ensuring high-quality results aligned with user expectations. The system is equipped to handle multi-view generation and is designed with scalability and future enhancements in mind.
Venice AI Image Generator MCP Server
This project implements a Model Context Protocol (MCP) server that integrates with Venice AI for image generation. It features an approval/regeneration workflow, allowing users to approve generated images or request regenerations via thumbs up/down feedback. The server bridges LLMs, like Claude, with Venice AI's capabilities to generate images from text prompts. Technical features include FastMCP Server for MCP communication, Venice AI integration, and an image cache for management. The architecture is built on a client-server model, utilizing LLM Host, MCP Server, and Venice AI API. Future enhancements may include persistent storage, image editing, and expanded view generation capabilities. Begin implementation by setting up the FastMCP library, Venice AI API credentials, and defined MCP tools.