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Why this server?
The Comfy MCP Server generates images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.
Why this server?
Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
Why this server?
A server that integrates Flux's advanced image generation and manipulation features into AI coding assistants, enabling seamless text-to-image and image control workflows in IDEs like Cursor and Windsurf.
Why this server?
Provides access to [Amazon Bedrock](https://aws.amazon.com/bedrock/)'s Nova Canvas model for AI image generation.
Why this server?
Enables the generation of images using Together AI's models through an MCP server, supporting customizable parameters such as model selection, image dimensions, and output directory.
Why this server?
A TypeScript-based Model Context Protocol (MCP) server enabling integration with PiAPI for media content generation using platforms like Midjourney, Flux, and others through MCP-compatible applications.
Why this server?
Enables users to generate images from text prompts using Replicate's model, with configurable parameters and full MCP protocol compliance.
Why this server?
An MCP server for processing images using Florence-2.
Why this server?
This server provides tools for uploading images and videos directly to Cloudinary using Claude/Cline, facilitating resource management with customizable options like resource type and public ID.
Why this server?
An advanced MCP server for Cline that leverages EverArt's AI models to generate vector and raster images, supporting flexible storage, multiple formats, and robust image generation capabilities.