Provides a lightweight Model Context Protocol server for AI image generation, leveraging Google Gemini models.
Sponsored
This tool functions as a lightweight Model Context Protocol (MCP) server, enabling seamless AI image generation directly from your preferred MCP-compatible clients such as Claude Code, Claude Desktop, and Cursor. It harnesses the power of Google Gemini models, including Nano Banana 2 and other experimental and Pro versions, to transform text prompts into visual content. Key capabilities include automatic saving of generated images to disk and built-in SOCKS proxy support, streamlining the workflow for creating diverse AI-generated visuals.
Key Features
01Integrated SOCKS proxy support
02Text-to-image generation powered by Google Gemini
03Compatible with any MCP client (Claude Code, Cursor, etc.)
040 GitHub stars
05Automatic saving of generated images to disk
06Support for multiple Gemini models (Experimental, Nano Banana 2, Pro)
Use Cases
01Quickly creating visual assets from text descriptions for various projects
02Experimenting with different Google Gemini image generation models and their output quality
03Generating AI images directly within Claude Code, Cursor, or other MCP clients
