# AI Drawing

High-quality image generation MCP service based on Together AI

A text-to-image generation MCP server based on the Gemini model

An integration tool between Draw Things API and Cursor, realizing AI image generation functions through the MCP protocol

A Python-based automation tool that uses Google Gemini AI to control the Microsoft Paint program through natural language commands, enabling functions such as graphic drawing, text addition, and color management.

An image generation server based on the MCP protocol, using the Replicate flux-schnell model, supporting image generation through text prompts and configurable with various parameters.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models (including the Flux and Stable Diffusion series), and can directly generate high-quality images in the development environment. It provides flexible configuration options, multi-GPU support, and can be integrated with multiple IDEs through the MCP protocol. It also provides an OpenAPI interface for external calls.

An MCP server based on the OpenAI DALL-E API, providing image generation, editing, and variant functions, and supporting integration with Cline.

A TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.

An AI image generation server based on Replicate, supporting image generation, saving, and management

An image generation MCP server based on the Flux.1 Schnell model, providing high-quality image generation services through Together AI, supporting customizable parameters and standardized interfaces.

An image generation MCP server based on the Replicate Flux model, providing image generation capabilities for Claude Desktop

An image generation MCP server based on the Replicate API that provides image generation, saving, and viewing functions