mcp-image and mcp-image-extractor
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 mcp-image-extractor
ifmelate/mcp-image-extractor
MCP server which allow LLM in agent mode to analyze image whenever it needs
Implements three extraction tools—from local files, URLs, and base64 data—with automatic image resizing to 512x512 pixels to optimize LLM context usage. Built as an MCP server that integrates with Cursor and Claude via stdio transport, enabling AI agents to dynamically fetch and analyze images during multi-step tasks like test result review. Handles playwright screenshots and other image-based workflows where agents need on-demand visual context without pre-loading.
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