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.

An SSE-based MCP server providing image and video generation tools

An image generation tool based on Google Imagen 3.0, providing services through the MCP protocol, supporting photo-realistic quality generation

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

An image generation and editing tool based on the OpenAI GPT-4o/gpt-image-1 model, supporting image generation through text prompts, image editing (such as repair, extension, composition, etc.), and being compatible with multiple MCP clients.

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

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 Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

LetzAI MCP is an image generation tool based on Node.js that integrates the LetzAI API through the Claude desktop application to achieve AI image generation and processing.

MCP Kling is the first and only complete Kling AI MCP server, offering 13 creative tools that support video generation, image processing, lip-syncing, and virtual try-on, enabling seamless integration with Claude, suitable for content creators and developers.

The Modal MCP Toolbox is a collection of tools running on the Modal platform. Based on the Model Context Protocol (MCP), it can provide extended functions for LLMs, such as Python sandbox code execution and FLUX model image generation.

MiniMax MCP JS is a MiniMax MCP protocol toolset implemented in JavaScript/TypeScript, providing functions such as image generation, video generation, and text-to-speech, and supporting interaction with MCP-compatible clients.

The ComfyUI MCP Server is a service implementation for integrating ComfyUI with MCP. It needs to be used with a running ComfyUI server and provides multiple built-in tools such as text-to-image generation, image downloading, and running custom workflows. It supports running in UV or Docker mode.

A LangGraph - based agent tool that helps users generate images through AI and register them as IP assets on the Story blockchain, including the entire processes of image generation, IPFS upload, metadata creation, license terms negotiation, and blockchain registration.

The Freepik FastMCP toolkit is an MCP server used to seamlessly integrate AI assistants with the Freepik API, providing functions such as icon search and download, resource management, image classification, and generation.

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

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

The TRELLIS Blender plugin integrates advanced text/image - to - 3D model generation capabilities into Blender, supports generating textured 3D meshes from text or images, and provides detail adjustment functions. The plugin also integrates the MCP service and can communicate with tools such as Cursor/Windsurf.

The Minimax MCP Tools is an MCP server implementation integrating the Minimax API, providing AI image generation and text-to-speech functions, and supporting seamless integration with the Windsurf editor.

A PowerPoint presentation generation tool based on the MCP server, supporting various slide types and image generation

Minimax MCP Tools is an MCP server implementation that integrates Minimax AI capabilities, providing image generation and text - to - speech functions.

This project is an MCP server integrated with the Stable Diffusion image generation function, providing image generation services for AI agents. It supports generating images through the MCP protocol or direct API calls and includes development and debugging tools.

An image generation service based on Together AI, integrated with Cursor MCP, a high-quality image generation tool that supports multiple aspect ratios and batch generation.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models, and can seamlessly generate high - quality images in the development environment.

The Gaia MCP Server is a server implementation based on the Model Context Protocol (MCP), supporting communication with large language models (LLMs) through stdio and SSE. It provides a standardized tool - calling interface and especially integrates AI image generation and processing functions.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

An MCP server implementation compatible with the OpenAI DALL - E API, supporting multiple large models and image - generation APIs, and providing convenient development and debugging tools.

An intelligent chatbot based on Streamlit that uses GPT-4o to automatically route user requests to different tools (such as chatting, image generation, database queries, voice synthesis, etc.), supporting rapid experimentation with AI tool routing functions.

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

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.

MAVAE is an image processing toolkit based on the MCP protocol, providing functions such as image generation, editing, and collection management, and supporting standardized operations of AI agents.

An MCP server that supports Claude to send API requests on behalf of users, providing various API testing tools, including a dedicated OpenAI interface, and supporting HTTP requests and DALL - E image generation.

A local proxy server and client implementation based on the MCP platform, integrating the ability to call multiple AI tools such as weather query, Google search, camera control, AI image generation, and intelligent dialogue, supporting cross-platform operation and modular expansion.

An image generation tool service based on the MCP framework, supporting the generation of templated images through the Templated.io API

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.

An image generation tool server based on the MCP framework that provides the function of generating template images through the Templated.io API, supporting custom tool development and publishing to npm.

A server based on the Model Context Protocol that enables AI image generation functions by calling the Flux model through the Cloudflare Worker API, and is compatible with multiple AI assistant tools.