Image Tiler is an open-source MCP server designed for developers, QA engineers, and anyone working with LLM vision models like Claude, ChatGPT, and Gemini. It splits large screenshots or images into optimally-sized tiles based on each model's input constraints, preserving full-resolution details and providing accurate token estimates. With features such as per-model presets, headless Chrome for full-page capture, entropy-based tile analysis, multi-format input/output, and versioned workflows, it streamlines visual QA and prompt engineering for LLM-powered applications.
Visit Image Tiler's official website for product details and getting started.
Comprehensive guide on setting up and using Image Tiler, including API references and feature explanations.
Insights, updates, and use cases for Image Tiler, along with tips for working with LLM vision models.
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