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.

A logo generation server based on FAL AI, providing image generation, background removal, and automatic scaling functions.

An image generation service based on Jimeng AI, designed for Cursor IDE, enabling the generation and saving of images from text descriptions.

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.

A logo generation server based on FAL AI, providing image generation, background removal, and automatic scaling functions.

An MCP server based on TypeScript that integrates the Flux Schnell model to implement text-to-image generation functionality

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

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.

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.

A Solana token issuance server integrated with AI functions, providing innovative features such as token concept generation, image creation, and DNA sequence generation, and supporting token creation and deployment on the Solana blockchain.

An MCP service for image generation based on Together AI and Replicate

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.

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.

A multi - functional MCP server integrating RunwayML and Luma AI APIs, supporting video/image generation and processing tasks

An MCP server based on TypeScript that provides AI image and video generation functions, requiring the support of an API key from GPT4O Image Generator.

The Stability AI MCP Server is an MCP server that integrates the image processing functions of Stability AI, supporting various image operations such as generation, editing, and enlargement.

An MCP service implementation for accessing Freepik material resources and AI image generation functions

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 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.

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.

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.

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.

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.

An MCP server implementation for accessing Freepik's material resources and Mystic AI image generation capabilities

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 MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

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.

AI-based image explanation generation service

The FAL Image and Video MCP Server is a high - performance MCP protocol server specifically designed for image and video generation in FAL AI, supporting automatic download to local machines. It provides public URLs, data URLs, and local file paths, suitable for MCP - compatible clients such as Claude.

A TypeScript-based MCP server that provides AI image and video generation functions and requires support from the API key of GPT4O Image Generator.

A repository focused on exploring and applying generative AI (GenAI), aiming to help users learn and experiment with the application of GenAI in daily tasks, including writing, programming, image generation, etc., through practical cases and resource sharing.

The Gemini Nanobanana MCP is a Claude plugin that allows users to generate AI images through text descriptions. It integrates Google Gemini 2.5 Flash image generation functionality and supports various image editing and creation methods.

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

Winston AI MCP Server is a multi - functional AI detection server that provides text/image AI generation detection, plagiarism detection, and text comparison functions, supporting various integration methods and API access.

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.

The Grok MCP plugin is an interface that provides the powerful features of Grok AI for Cline, supporting text generation, image analysis, and function calls.

A multi-API-based image search and icon generation service, designed specifically for the Cursor IDE, providing image search, download, and AI-generated icon functions

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.

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.