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

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 Recraft AI MCP Server is a server that integrates MCP clients with Recraft AI's image processing capabilities, supporting functions such as generating and editing raster/vector images, creating custom styles, image vectorization, background processing, and image upscaling.

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 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 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.

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 Jimeng AI Image Generation MCP Service based on Volcengine provides standardized interfaces to generate high-quality images, supporting multiple ratios and customizable 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.

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.

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.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

The Upstage MCP Server is a server that connects AI assistants with the Upstage AI document processing API. It supports extracting structured content from PDFs, images, and Office files and integrates with MCP clients such as Claude Desktop.

SVGMaker MCP Server is a powerful service based on the SVGMaker API for generating, editing, and converting SVG images. It supports AI-driven SVG creation, smart editing, image-to-SVG conversion, etc., and provides secure file operations and real-time progress updates.

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.

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.

This project aims to provide access to the content of the Swedish National Archives (Riksarkivet) through multiple API interfaces (such as OAI - PMH, IIIF, and Search API), including functions such as searching for records, obtaining collection information, downloading images, etc., and exploring the real - time handwritten text recognition (HTR) process.

The Naver Search MCP Server is a multi - platform communication protocol service that provides access to Naver Search APIs, supports searching for various types of content such as blogs, news, books, and images, and optimizes structured text responses for AI agents.

Scout Monitoring MCP is a locally running MCP server that allows AI assistants to access Scout application performance monitoring data through Docker images, including error tracking, performance metrics, and code-level analysis, helping AI directly fix performance issues in the code.

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.

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.

The Orshot MCP Server is an image generation API service that allows users to dynamically generate images from pre - designed or AI - generated templates via the API and supports calls through the MCP server in applications such as Claude and Cursor.

The Freepik Flux AI MCP Server is a service that creates images from text descriptions for Claude Desktop.

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.

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.

The Luma AI MCP Server is a service based on the Model Context Protocol, integrating the Luma AI Dream Machine API (v1), providing a toolset for AI-generated videos/images, including text/image-to-video, video extension, audio addition, image quality improvement, etc., and supports direct calls through Claude Desktop.

An MCP server for image generation and editing based on Google Gemini AI, supporting multiple aspect ratios, watermark overlay, and context image guidance, specially optimized for social media images.

An MCP server based on Freepik Flux AI for generating images from text descriptions, supporting multiple aspect ratios and integrating with Claude Desktop.

An MCP service based on ECharts that can generate high-quality chart images through configuration, supports multiple chart types and custom sizes, and is easy to integrate with AI assistants.

The Portainer MCP Server project enables AI assistants to interact with Docker containers and services through the Portainer API, providing management operations for containers, images, networks, and services.

The WildFly MCP project aims to provide WildFly users with tools to monitor and manage servers using generative AI capabilities, including components such as MCP servers, chatbots, container images, and protocol gateways.

An AI-based food nutritional analysis assistant that identifies foods through images, calculates calorie and protein content, and supports nutritional knowledge Q&A and conversation memory functions.

This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.

A cross - platform tool that supports batch converting PNG/JPG images to WebP format, provides multi - threaded processing and various conversion options, and integrates the MCP protocol for easy use in AI development environments.

The NASA MCP Server is a server that adheres to the Model Context Protocol specification, providing a standardized interface for AI models to access over 20 public data sources of NASA, including astronomical images, Mars exploration data, and Earth observation images.