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 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.

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

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.

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 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.

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.

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.

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.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

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.

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

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.

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.

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.

Banana Image MCP is an AI image generation server based on the MCP protocol, enabling assistants like Claude to use Google Gemini models to generate high - quality images, supporting 4K resolution and intelligent model selection.

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

A Node.js tool for generating images from text through the fal.ai API and MCP protocol, supporting multiple models and parameters, suitable for developers and creators to quickly generate images.

An MCP image analysis server based on OpenRouter visual models

ImageGen MCP Server is an MCP server that supports multiple AI image generation models (including GPT-Image-1, Google Imagen 4, Flux 1.1, etc.), providing flexible image generation, size adjustment, and output format options, and can be seamlessly integrated into various MCP clients.

ImgMCP is a multimedia AI model aggregation platform. Through a unified MCP protocol and API, it provides users with the ability to conveniently access and use a variety of AI models (such as image generation, understanding, and processing), aiming to connect AI capabilities with user creativity and improve the creative experience and efficiency.

A Docker image project named Goose, integrated with the MCP server, supporting connection to LLM models through Ollama and adding GitHub MCP services via command - line extensions.

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.

An MCP server based on Google Gemini's image generation model that allows AI agents to generate, edit, and describe images through text prompts, supporting multiple models and configuration options.

Tencent Cloud COS MCP Server is a service that allows large models to quickly access Tencent Cloud Storage (COS) and CI capabilities without coding, providing cloud storage and processing functions such as file upload and download, image processing, and video processing.

40ants-lisp-dev-mcp is an MCP server that provides tools for large language models (LLMs) to interact with a running Lisp image. It supports running in stdio or HTTP stream modes, allowing LLMs to call Lisp functions, obtain documentation, evaluate code, etc., facilitating AI-assisted programming in the Lisp development environment.

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.

Tencent Cloud COS MCP Server is a service based on the MCP protocol that allows large models to quickly access Tencent Cloud Storage (COS) and Cloud Infinite (CI) capabilities without coding, providing cloud storage and processing functions such as file upload and download, image processing, and video frame extraction.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

The MCP STL 3D Relief Generator is a tool that converts 2D images into 3D relief models, supporting functions such as controlling model size, adding a base, and depth inversion. It is suitable for 3D printing and rendering.

A Pixabay API service based on the MCP protocol, providing image and video search functions for AI models.

The DS Core MCP Server project is a medical data integration toolset based on the DS Core Open API platform, including four independent MCP servers for patient management, document management, DICOM image management, and digital impression management, enabling large language models to securely and conveniently access medical data and services.

The OpenRouter Image MCP Server provides powerful image analysis capabilities for AI agents, supports multiple visual models, and can analyze visual content such as photos, web page screenshots, and mobile application interfaces

An Image Generation MCP Server based on the OpenAI API, providing functions to create, edit, and combine images through text prompts. It supports multiple models and parameter configurations and can be integrated into compatible MCP clients for use.

Flux ImageGen MCP Server is a dedicated server based on the Model Context Protocol (MCP), focusing on providing image generation and processing functions through Pollinations AI. It supports generating image URLs from text prompts, directly generating images, and managing multiple image generation models.

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.

Ludo AI MCP Server is a service that provides AI - generated game assets (such as images, 3D models, animations, and audio) through the Model Context Protocol (MCP), supporting integration with clients such as Claude Desktop and Cursor.

The Meshy AI MCP Server is a model context protocol server for interacting with the Meshy AI API, providing functions such as generating 3D models from text and images, applying textures, and remeshing models.

An MCP server based on the ModelScope image generation API, supporting asynchronous image generation through natural language prompts and automatically saving them to local files.