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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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.

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.

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.

An MCP server based on the Amazon Bedrock Nova Canvas model, providing high-quality AI image generation services, supporting functions such as text description image generation, negative prompt optimization, size configuration, and seed control.

An image generation MCP server based on the Flux.1 Schnell model, providing high-quality image generation services through Together AI, supporting customizable parameters and standardized interfaces.

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.

The Thoth MCP Server is a Model Context Protocol (MCP) server designed for the Thoth content creation platform, allowing AI assistants to create and manage multi - platform social media content through the API. It supports platforms such as Twitter, Instagram, and LinkedIn, and provides functions such as brand style application, AI content enhancement, image generation, and scheduled publishing.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

The Black Forest Labs MCP server is an image generation tool based on the model context protocol that uses the FLUX model through the BFL API to achieve AI image generation from text

This project implements an SSE MCP server that integrates the APIs of HuggingFace and Replicate, providing image generation and model management tools, and supporting a standardized AI model interaction interface.

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.

The DICOM MCP Server is a medical imaging AI integration tool based on the Model Context Protocol (MCP), which supports querying, reading, and transferring PACS (Picture Archiving and Communication System) data through AI assistants, with Orthanc as the reference implementation. The project integrates DICOM, FHIR, and a mini RIS database, providing comprehensive radiology workflow management, including image query, report generation, virtual device simulation, and report archiving.

Leonardo MCP Server is a model context protocol server supporting HTTP and stdio modes, used to interact with Leonardo AI and support functions such as creating image generation tasks and viewing model status.

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.

A server based on the Model Context Protocol that enables AI image generation functions by calling the Flux model through the Cloudflare Worker API, and is compatible with multiple AI assistant tools.