mcp-image-extractor and image-tiler-mcp-server
These two MCP servers are complementary, with one extracting image details for LLM analysis and the other ensuring high-resolution input for LLvision models by tiling large images, both contributing to improved image understanding by LLMs.
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.
About image-tiler-mcp-server
keiver/image-tiler-mcp-server
MCP server that prevents LLM vision downscaling, tiles large images & screenshots so Claude, GPT-4o, and Gemini see every detail
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