# Image Generation

A Model Context Protocol for building detailed fictional worlds, supporting automatic image generation.

This project implements an SSE MCP server that integrates the APIs of HuggingFace and Replicate, providing image generation and model management tools, and supporting a standardized AI model interaction interface.

A server for the Pollinations.ai service interface based on the MCP protocol, providing image and text generation functions

The Image Generation MCP Server is an MCP server that provides image generation functionality for Claude Desktop. It uses the Replicate Flux model, supports generating images through text prompts, and can be installed and configured via Smithery or npm.

High-quality image generation MCP service based on Together AI

A text-to-image MCP server based on the Stable Diffusion WebUI API

An MCP server tool for generating spoof O'Reilly-style book covers, which can be directly displayed in the Claude desktop application.

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

A Google Gemini-based image generation and editing service that provides AI image processing capabilities through the MCP protocol

This project implements an MCP server that integrates Venice AI's image - generation capabilities, providing an interactive image - generation service with an approval/regeneration workflow and supporting the generation of multi - view 3D views through the Gemini API.

An image processing server based on the MCP protocol that enables professional - level image editing functions through natural language instructions, including generation, modification, background removal, and hosting services.

An MCP server based on Go language that implements the function of generating images from text descriptions through OpenAI's DALL-E API, supporting integration with large language models such as Claude.

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

The MCP server project of VseGPT provides a standardized protocol for interaction between the language model and external services.

A lightweight MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

ComfyUI_StoryDiffusion is a plugin based on ComfyUI that supports the StoryDiffusion and MS - Diffusion models for generating coherent long - sequence images and videos. The project supports multiple functions, including dual - character co - appearance, ControlNet control, Lora acceleration, text - to - image and image - to - image conversion, etc.

An MCP protocol server implemented for the Replicate platform, providing model invocation and management tools

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.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

An image generation server based on the MCP protocol, developed in Go language, and implements image generation functions through OpenAI's DALL-E API

The Placid.app MCP Server is a service implementation for integrating with the Placid.app API, providing template management and multimedia generation functions.

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

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

This project is an MCP server integrated with Stable Diffusion image generation functionality, providing image generation services for AI agents, including development and debugging tools and Goose platform integration capabilities.

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

An MCP image generation and editing server based on Google Gemini 2.5 Flash API, supporting text - to - image generation, image editing, iterative creation, and style transfer functions

An image generation MCP server based on the FastMCP framework and Volcano Engine API, supporting high-quality image generation through the Doubao model, providing functions such as multi-resolution, parameter control, and local storage.

An MCP server for Hunyuan Image generation based on the Replicate platform, providing high-quality text-to-image conversion capabilities, supporting multiple sizes and parameter adjustment

The Black Forest Labs MCP server is an image generation tool based on the model context protocol that uses the FLUX model through the BFL API to achieve AI image generation from text

A Doubao Seedream 4.0 text - to - image server based on the MCP protocol. It supports AI image generation, automatic download, and local storage, and can be integrated into Claude Code for use.