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.

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 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.

ClaudeHopper is an AI-based construction document assistance tool that enables intelligent interaction with construction drawings and specification documents through RAG and hybrid search technologies.

An AI-driven MCP server for chart and prototype drawing, integrating multiple large language models and supporting the intelligent generation of draw.io format charts and HTML interactive product prototypes in multiple styles based on natural language descriptions.

The Jimeng AI Image Generation MCP Service based on Volcengine provides standardized interfaces to generate high-quality images, supporting multiple ratios and customizable parameters.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

SVGMaker MCP Server is a powerful service based on the SVGMaker API for generating, editing, and converting SVG images. It supports AI-driven SVG creation, smart editing, image-to-SVG conversion, etc., and provides secure file operations and real-time progress updates.

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

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

An MCP server that provides drawing functions for AI assistants

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

High-quality image generation MCP service based on Together AI

ClaudeHopper is an AI-driven building document assistant that enables direct interaction with building drawings and specifications through RAG and hybrid search technologies.

Flux Schnell image generation server based on the MCP protocol, implementing AI image drawing functionality through the Replicate API

A multi-provider AI image generation server that supports Google, ZHIPU AI, and Alibaba Cloud Bailian, providing text-to-image generation and image transformation functions, and is compatible with MCP client applications.

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.

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.

Nano Banana is a professional MCP extension for generating, editing, and restoring images through text descriptions. It supports various image processing functions, such as generating icons, patterns, stories, and diagrams.

This project is an interactive drawing server based on the MCP protocol. It provides a 16x16 grid drawing interface, supports real - time state synchronization and persistent storage, and can be integrated with Goose AI.

A Python application that combines mathematical calculation and drawing functions, processes mathematical problems through Gemini AI, and visualizes the results

This project uses the Model Context Protocol (MCP) framework to achieve automated control of the Windows Paint program (MSPaint) by an AI agent. It uses pywinauto to operate the Paint tool and combines with the Gemini model to implement drawing functions driven by natural language instructions.

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