mcp-image and image-worker-mcp
These tools are complementary: one provides AI image generation and optimization, while the other focuses on post-generation image manipulation and cloud storage integration, suggesting a workflow where an image generated by the first could be processed and stored by the second.
About mcp-image
shinpr/mcp-image
MCP server for AI image generation and editing with automatic prompt optimization and quality presets (fast/balanced/quality). Powered by Gemini (Nano Banana 2 & Pro).
Uses Gemini 2.5 Flash for automatic prompt optimization via a Subject–Context–Style framework, enriching simple descriptions with photographic and artistic details while preserving intent. Implements three quality tiers (Nano Banana 2 & Pro) for generation, integrates with MCP-compatible tools (Cursor, Claude Code, Codex), and includes an optional standalone Agent Skill for teaching AI assistants better prompt-writing practices without requiring API access.
About image-worker-mcp
BoomLinkAi/image-worker-mcp
Effortlessly resize, convert, optimize, and transform images with a single MCP server—then upload them directly to S3, Cloudflare R2, or Google Cloud Storage. Ideal for AI workflows, automation scripts, and developers who want seamless image handling in one tool.
Implements the Model Context Protocol (MCP) via stdio transport to integrate seamlessly with AI assistants and code editors (Cursor, Claude, VSCode, Zed, etc.). Built on the sharp library for fast image processing, it supports flexible input formats—file paths, URLs, and base64—and chains operations like resizing, format conversion, and optimization before uploading to cloud storage with configurable credentials.
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