MCP server enabling AI agents to perform autonomous photographic color science and screenshot annotation with deterministic computer vision, film emulation, and real-time live preview.
An MCP server that provides classic computer vision feature extraction tools (color, texture, shape) for image analysis, enabling LLMs to perform precise mathematical image comparisons and quality assessments.
MCP server for biological protein design, folding, and affinity prediction using Refua tools, with optional support for ADMET, clinical simulation, preclinical planning, wet-lab automation, and more.
MCP server for AI agents to make structured design decisions with direction, palette, typography, layout, and detail signatures, supporting multiple rendering backends and 56 visual styles.
MCP server that renders AI-authored documents to images and returns typed diagnostics for self-correction. It also provides visual QA metrics, raster-to-vector reconstruction, and image-to-draft proposals.