Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.
Enables AI agents to drive a live SVG/vector editor, allowing a full observe-and-act loop on a canvas with real tools, state reading, and PNG rendering.
Enables AI-powered image to SVG vectorization, background removal, and SVG manipulation directly through MCP-compatible clients. Users can convert images, process batches, and edit vector properties like colors and complexity using the svg.new API.