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Why this server?
Allows AI systems to trigger and interact with your Cloudinary cloud, which is helpful for editing pictures.
Why this server?
Facilitates running Python code in a sandbox and generating images using the FLUX model, useful for editing pictures programmatically.
Why this server?
Allows users to generate images from text prompts which can be used to edit existing pictures.
Why this server?
Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data which could be useful for accessing images to edit.
Why this server?
A server that implements the Model Context Protocol (MCP), providing an interface for LLM applications to generate mermaid.js visualizations and diagrams. Useful to create graphical representations of edits.
Why this server?
A server that connects to the xAI/Grok image generation API, allowing users to generate images from text prompts with support for multiple image generation and different response formats.
Why this server?
Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.
Why this server?
A Model Context Protocol server that enables AI assistants to create and manipulate PowerPoint presentations with advanced features like financial charts, formatting, and template management, useful for displaying edited pictures.
Why this server?
A Model Context Protocol server that provides image generation capabilities using Google's Gemini 2 API, allowing users to generate multiple images with customizable parameters like prompts, aspect ratios, and person generation settings.
Why this server?
Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data via OSAScript.