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Why this server?
Integrates Flux's advanced image generation and manipulation features into AI coding assistants, enabling seamless text-to-image and image control workflows.
Why this server?
Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server.
Why this server?
A Model Context Protocol server that enables high-quality image generation using the Flux.1 Schnell model via Together AI with customizable parameters.
Why this server?
A Model Context Protocol server that enables generation of high-quality images using the Flux.1 Schnell model via Together AI, allowing users to create images from text prompts with customizable dimensions.
Why this server?
A Model Context Protocol server that enables AI assistants to create images and videos using Amazon Nova Canvas and Nova Reel models.
Why this server?
Provides image generation capabilities using the Flux Schnell model on Replicate, allowing users to create images from text prompts.
Why this server?
Retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi
Why this server?
A FastMCP server implementation that provides a standardized interface for accessing AI models hosted on Replicate's API, currently supporting image generation with customizable parameters.
Why this server?
MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.
Why this server?
Connects a RAG application to open-webui using Model Context Protocol (MCP), enabling server-to-client communication for context retrieval and tool usage in remote environments through Server-Sent Events (SSE).