The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

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.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

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.

An MCP server based on Google's Gemini model, providing text-to-image generation and image transformation functions, supporting high-quality image generation, smart file name generation, and local storage.

The OpenSCAD MCP Server is a service for generating parametric 3D models from text or images. It supports multi - view reconstruction, AI image generation, remote CUDA processing, and workflow approval, and finally outputs OpenSCAD - compatible model files.

An MCP server for image generation and editing based on the OpenAI gpt-image-1 model, supporting the creation and modification of images through text prompts, providing convenient integration methods and rich configuration options.

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.

Luma API MCP is a project that provides image and video generation services. Users can access it through an API key, supporting multiple aspect ratios, models, and resolution options, and can control the generation effect through reference images or video keyframes.

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.

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.

Outsource MCP is a unified interface service that supports multiple AI model providers. Through the MCP protocol, AI applications can conveniently call the text and image generation capabilities of different manufacturers.

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 MCP server that provides image generation and web scraping functions for Windsurf, supporting image generation using the Flux Pro model and web content extraction through the ScrapeGraph API.

A FastMCP server implementation for connecting to the Replicate API, providing standardized interfaces to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

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.

The Ideogram MCP Server is an image generation service based on the Ideogram API, providing a variety of customizable image generation parameters, including ratio, model, style, etc.

The AI Video Generation MCP Server supports text and image input to generate dynamic videos, providing multiple parameter controls and model selections.

MCP Flux Studio is a powerful model context protocol server that integrates Flux's advanced image generation capabilities into AI programming assistants and supports Cursor and Windsurf IDEs.

An MCP server based on the Nova Canvas model on Amazon Bedrock, supporting multiple image generation and editing 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.

An image generation service based on the fal.ai FLUX.1 Pro model, providing API call capabilities through the MCP protocol

The Flux Image MCP Server is an image generation service based on the Flux Schnell model. It provides an API interface through the Replicate platform and supports image generation through text descriptions.

Groq MCP Server is a service that provides fast model inference through the Model Context Protocol (MCP), supporting various functions such as text generation, voice conversion, image analysis, and batch processing.

An AI image generation MCP service based on the Amazon Bedrock Nova Canvas model

A FastMCP server implementation based on the Replicate API, focusing on providing resource-based access to AI model inference, especially good at image generation functions.

A high-quality image generation MCP server based on the Flux.1 Schnell model

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

Replicate Flux MCP is an advanced server based on the Model Context Protocol (MCP), which uses the Flux Schnell and Recraft V3 SVG models through the Replicate API to provide high-quality image and vector graphics generation capabilities for AI assistants.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

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.

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.

This project implements an MCP server that provides image generation and editing functions through OpenAI's gpt-image-1 model. It supports generating images based on text descriptions, editing or repairing images based on reference images, and saving the results locally.

This project is a video generation MCP server based on the Google Veo2 model. It supports video generation through text prompts or images and provides MCP resource access functions.

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