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.

An MCP server that generates images through the Replicate FLUX model and stores them in Cloudflare R2

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

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 TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.

The official MCP server of phospho, implementing the model context protocol, supporting the control of physical robots through natural language, and providing functions for performing actions and camera image streaming.

The GIMP-MCP project aims to integrate GIMP with AI models through the Model Context Protocol (MCP), providing intelligent image editing functions such as background removal and image repair.

An MCP server based on OpenSCAD that generates multi - view images through AI and reconstructs them into parametric 3D models, supporting remote CUDA - accelerated processing.

The OpenSCAD MCP Server is a tool for generating parametric 3D models through text or images, supporting multi-view reconstruction and remote processing.

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.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

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.

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 Whimsical MCP Server is a service based on the Model Context Protocol (MCP) that allows creating Whimsical diagrams programmatically. This service integrates with the Whimsical API, converts Mermaid markup into diagrams, and returns the diagram URL and base64 - encoded image.

MCP - URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access URLs, simplifying the process of generating and sharing web page snapshots.

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.

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.

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

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.

A Python - based LINE MCP server that allows language models to read and analyze LINE conversation messages through a standardized interface. The project uses the FastAPI framework, supports text, sticker, and image message processing, and provides core functions such as message storage and API endpoints.

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.

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.

MCPollinations is a multimodal AI service based on the Model Context Protocol (MCP) that supports generating images, text, and audio through the Pollinations API. It offers a lightweight service that does not require authentication, is compatible with multiple AI models, and supports image saving and Base64 encoding return.

MCP OpenVision is an image analysis server based on OpenRouter's vision models, providing image analysis capabilities for AI assistants.

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.

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.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

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 server implementation based on the Model Context Protocol (MCP) for integrating with Recraft.ai services, enabling AI assistants to generate images using Recraft's API through the MCP framework.

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

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.

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

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.

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.