$ loading_
Enable AI to precisely parse and measure SVG graphics deterministically.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.c64dos-png/vector-mirror" MCP server from askskill: Run: claude mcp add 'io-github-c64dos-png-vector-mirror' -- npx -y vector-mirror
Please parse this SVG, list the dimensions, coordinates, and bounding boxes of all major graphic elements, and check whether the left and right padding are consistent.
A structured measurement report of elements, highlighting any inconsistent dimensions or spacing.
Precisely measure this SVG and compare it against this design spec: artboard 24x24, main circle radius 8, stroke width 2, and center at 12,12.
Returns measured values, deviations, and a pass/fail result for each specification item.
Read this SVG and avoid subjective visual descriptions; summarize only measurable information including graphic structure, path count, hierarchy, and overall bounds.
Generates a deterministic SVG structural summary for AI agents, reducing visual guesswork.
Render SVG into PNG for AI preview, inspection, and visual validation.
Vectorize images and edit, inspect, render, and optimize SVGs locally.
Convert SVG files into Marp presentations with text extraction and PNG export.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Automate Adobe Illustrator to vectorize bitmap art and perform visual QA.