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.

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.

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 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.

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 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.

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.

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

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.

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.

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.

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

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.

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 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

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 Gaia MCP Server is a server implementation based on the Model Context Protocol (MCP), supporting communication with large language models (LLMs) through stdio and SSE. It provides a standardized tool - calling interface and especially integrates AI image generation and processing functions.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

An MCP server based on the rembg background removal library that provides image background removal functions for tools such as Claude through AI models. It supports multiple models and batch processing.

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

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

Typst MCP Server is a server that implements the MCP protocol, helping AI models interact with the Typst typesetting system and providing functions such as LaTeX and Typst conversion, syntax validation, and image generation.

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.