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Nakkas

arikusi/nakkas

Declarative SVG generation where the AI designs the entire config and nakkas renders it. You get a single render_svg tool that accepts a JSON schema covering canvas, gradients, filters, animations (both CSS keyframes and SMIL), and a full element library including shapes, text, groups, and specialized layout groups like radial, grid, and scatter. The AI fills in every field from stroke styles to easing curves while you describe what you want in plain language. Preview returns a PNG, save writes to disk, and everything runs locally with zero external dependencies. Built for AI-native workflows: the schema uses rich describe() annotations so models know exactly what each field does. Good fit when you need programmatic vector graphics without touching Illustrator or writing SVG by hand.

GitHub stars
31
tools
3
transport
STDIO
last updated
Jul 13, 2026
View on GitHub

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

render_svgTakes SVGConfig JSON, returns a PNG preview + artifact id (+ design analysis warnings)

Takes SVGConfig JSON, returns a PNG preview + artifact id (+ design analysis warnings)

No parameter schema in public metadata yet.

previewRe-renders a stored artifact (or raw SVG) to PNG at any width

Re-renders a stored artifact (or raw SVG) to PNG at any width

No parameter schema in public metadata yet.

saveSaves a stored artifact (or raw content) to disk as SVG (text) or PNG (raster)

Saves a stored artifact (or raw content) to disk as SVG (text) or PNG (raster)

No parameter schema in public metadata yet.

Sponsors

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Readme

nakkas

MCP server that turns AI into an SVG artist.
One rendering engine. AI decides everything.

npm version downloads license Marketplace

Officially listed on the MCP Registry, Glama, LobeHub, and PulseMCP.

View the full README on GitHub

Details

Repository
github.com/arikusi/nakkas
Category
Design & Creative
Package
nakkas
Transport
STDIO
Registry
MCP registry, active

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