
Nakkas
io.github.arikusiPublished by GitHub account arikusiv0.5.0Updated Oct 24, 2026
MCP server that turns AI into an SVG artist. One rendering engine, AI decides everything.
Overview
Local MCP server that lets an assistant design animated SVG graphics from a JSON config and iterate on them through PNG previews.
- What you can do
- Render a declarative JSON config into an animated SVG, returning a PNG preview, an artifact id and design warnings
- Re-render a stored artifact or raw SVG to a PNG at any width, optionally as a multi-frame filmstrip to check motion
- Save an artifact or raw content to disk as SVG text or PNG raster, with automatic renaming instead of overwriting
- Build designs from shapes, text, groups, pattern groups and parametric curves, with gradients, filters, clip paths and markers
- Animate with CSS keyframes or SMIL, and get layout and contrast warnings such as overflow, overlap and low-contrast text
- When to use it
- Useful when you want logos, icons, spinners, badges, README banners or generative art produced as self-contained animated SVG, especially for GitHub READMEs where JavaScript is stripped. The preview-and-revise loop suits iterative visual design work.
- Requirements
- Runs locally over stdio as an npm package, typically launched with npx; Node.js 18 or newer is required. No API keys, accounts or cloud services are needed.
Installation
In SourceWeft
- Open Nakkas in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
[Official MCP Registry] [LobeHub] [Ask DeepWiki]
[Orbital system: rings of dots rotating at different speeds around a breathing sun, with a comet trailing its tail] [Lissajous curve drawing itself stroke by stroke over a dot grid]
Both drawn by an AI through nakkas, one JSON config each, iterated against its own PNG previews. Pure CSS animation, no JavaScript.
Nakkas is an MCP (Model Context Protocol) server that lets AI assistants like Claude create animated SVG graphics from a declarative JSON config: logos, icons, loading spinners, GitHub README banners, badges, and generative art. It renders CSS @keyframes and SMIL animations with no JavaScript, so the output works inside GitHub READMEs and anywhere an <img> tag renders SVG. Every render comes back as a PNG preview plus a server-side artifact id, so the AI sees its own work immediately and iterates without the SVG text ever passing through its context window.
nakkaş means painter/artist in Turkish (old).
Why
- One tool, infinite designs.
render_svgtakes a JSON config. AI fills in everything. - The AI sees its own work. Every render returns a PNG preview, so the model critiques and revises instead of designing blind.
- Token-cheap iteration. The SVG stays on the server as an artifact; preview and save address it by id, so revision loops don't pay for the SVG text.
- Pure declarative SVG. CSS @keyframes + SMIL animations, no JavaScript. Survives GitHub's camo proxy.
- Zero external deps. No cloud API, no API keys. Runs locally.
Install
Claude Desktop
Add to your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Claude Code (CLI)
Cursor / Zed / Other MCP clients
Local Development
Quick Start
Ask your AI (with Nakkas connected):
"Make an animated SVG: dark terminal frame (800×200), glowing cyan text 'NAKKAS', neon glow filter, fade-in on load."
"Create a loading spinner: a circle with a draw-on stroke animation that loops every 1.5 seconds."
"Data visualization: animated bar chart, 5 bars, each fading in with a staggered delay, gradient fills."
"Profile badge (400×120): blue-to-purple gradient, white username text, drop shadow, subtle pulse animation."
Tools
Nakkas provides three tools:
The intended workflow: render → look at the returned preview → revise the config → render again → save. The rendered SVG stays on the server as an artifact: render_svg answers with the preview image and an id like art-1, and preview/save accept that id directly. The SVG text never has to travel back through the model's context window, which cuts the token cost of an iteration loop to a fraction of pasting SVG around. Artifacts live for the server process lifetime (capped at 32, oldest evicted).
The save Tool
Pass either artifact (id from render_svg, preferred) or content (raw string). Formats: auto (infers from extension), svg (text file), png (renders to raster first). If the file exists, a numeric counter is appended to prevent overwriting. The actual saved path is returned.
The render_svg Tool
Input: SVGConfig JSON object
Output: PNG preview image + a summary naming the artifact id, plus optional design analysis notes
The response shape is controlled by an optional output block in the config:
svg: trueincludes the full SVG text in the response (off by default; the artifact id covers preview and save)preview: falseskips the PNG imagepreviewWidthscales the previewminify: truecollapses whitespace in the stored and saved SVGframes: N(2 to 10) replaces the static preview with one filmstrip image sampling the CSS animations at N points in time — the way to verify motion, since a single preview only shows the starting state
With frames, nakkas evaluates the @keyframes math itself (duration, delay, iteration count, direction, fill mode, easing per segment) and bakes each sampled state into a static frame. Transform origins declared as transform-box: fill-box are resolved numerically from the element's geometry. SMIL animations are not sampled.
After rendering, the response may include design warnings about common issues such as too many concurrent animations, missing transformBox, group-level scale transforms, content extending past the viewport (measured from the real rendered bounding box, with the overflow in pixels), or low-contrast text against the canvas background (WCAG ratios). Text gets its own layout audit: every text element's ink bounding box is measured through an isolated render, so text escaping the viewport is named with its exact overflow, and two texts printed over each other come back as an overlap warning naming both.
SVGConfig Structure
Element Types
Two field names differ from raw SVG on purpose: the string of a text element goes in content (on textPath it is text), and validation errors will point you to the exact field if you mix them up. Pattern groups rotate each copy to face outward by default; set rotateChildren: false when the child is text or any shape that should stay upright.
All Visual Elements (Shared Fields)
Filter Presets
Reference as filter: "url(#myId)" on any element after defining in defs.filters:
CSS Animations
CSS property keys: camelCase (strokeDashoffset) or kebab-case (stroke-dashoffset). Both work.
Animatable CSS properties: opacity, fill, stroke, transform, filter, clip-path, stroke-dasharray, stroke-dashoffset, font-size, letter-spacing and more.
SMIL Animations
Three SMIL types, defined inline on each element via smilAnimations: []:
Path morphing (attributeName: "d"): from/to paths must have identical command types and counts. Only coordinates can differ.
Fonts
Prefer the CSS generic families: sans-serif, serif, monospace. They resolve to a real font on every platform, both in browsers and in nakkas previews. Named fonts like Arial or Helvetica only exist on some systems (not on most Linux machines), so a design that depends on them will render differently elsewhere. The safe pattern is a named font with a generic fallback: "Georgia, serif".
In preview and PNG save, generic families are resolved through the operating system's own font mapping (fontconfig on Linux), so what the AI sees matches what a browser on that machine would show. Custom font families are accepted and work when the font is available in the rendering environment.
Use Cases & Compatibility
Troubleshooting
"MCP error -32602: Input validation error"
This means the MCP SDK rejected the input before it reached the handler. It usually happens on the first attempt and works on retry. The most common triggers:
- Gradient type typo. Use
"linearGradient"or"radialGradient", not"linear"or"radial". This is the single most frequent mistake. - Keyframe offset as string. Write
0or100(numbers) or"from"/"to". Writing"0%"or"100%"will fail. - Colors in gradients and filters. Gradient stop and filter colors must be hex:
"#ff0000", not"red"orrgb(). Elementfill/strokeaccept any paint string ("#ff0000","none","url(#id)"), with hex being the safest choice across renderers. - Missing
typeon elements. Every element object needs atypefield.
Validation errors that reach the handler name the exact failing field (for example elements.1.content: Required) and append a field reference for the failing element type, so a retry usually succeeds on the first correction. Numeric strings on number fields (letterSpacing: "6") are coerced automatically instead of failing.
The handler also checks reference integrity before rendering: a dangling url(#id) in fill/stroke/filter/clipPath/mask, a use.href pointing nowhere, a textPath.pathId missing from defs.paths, or a duplicate ID all come back as errors with the exact field path and the list of defined IDs, instead of rendering silently broken output.
If you're building an MCP client integration and seeing this consistently, the issue is likely in how your client serializes arguments. See anthropics/claude-code#29104 for context on known serialization quirks.
Preview shows a blank or unexpected image
A single preview renders a static snapshot at t=0, before any animation starts. To see the motion, render with output: { frames: 4 } (or up to 10): nakkas samples the CSS animations at N points in time and returns one labeled filmstrip image. SMIL animations are the exception; they are not sampled and always show their base state.
If the image is completely blank:
- Check that your elements have
fillorstrokeset. A shape without fill on a transparent canvas is invisible. - Check coordinates. An element at
x: 2000on an800pxwide canvas is simply off-screen. - If using
filter: "url(#myFilter)", make suremyFilteris actually defined indefs.filters.
Animations not working on GitHub
GitHub READMEs render SVG through <img> tags, which strips JavaScript but keeps CSS and SMIL. If your animation works locally but not on GitHub:
- Avoid
<script>or event handlers (onclick,onmouseover). These are removed. - External fonts won't load. Stick to generic families (
monospace,sans-serif,serif) or named fonts with a generic fallback. - CSS
@importfor fonts is blocked. If you need a specific font, use inline<text>with a system fallback.
Large SVG output
If render_svg returns a warning about file size (over 50kb), the parametric curves are probably sampling too many points; reduce steps. Pattern groups are cheap: the child is defined once and instanced with <use>, so a grid-group with cols: 50, rows: 50 costs one child definition plus 2500 one-line <use> tags. For the smallest possible file, add output: { minify: true }.
How It's Tested
Every release ships only after a dogfood run: a design produced through the real MCP stdio layer against the freshly built server, iterated render → preview → critique → revise until it holds up. The test design is tailored to the change under test, so the run proves the new feature works under realistic use, not just that nothing broke. The full log, with prompts, iteration counts and the resulting assets, lives in dogfooding.md.
This ritual catches real bugs. The v0.3.0 easing dogfood found that CSS axis shorthands like translateX were baked verbatim into the SVG transform attribute, where they are invalid and silently freeze the element; the fix shipped in the same release. The animation frame sampler behind output.frames is verified against a real browser: randomized animations (seeded, including random cubic-bezier curves) are frozen in headless Chromium via the negative animation-delay trick and must match nakkas's sampled positions within a pixel. That cross-check runs in CI as tests/browser-truth.test.ts; the original manual harness remains at scripts/easing-browser-truth.sh.
Alongside the dogfood runs there are 397 unit and integration tests, including MCP stdio end-to-end coverage.
Tech Stack
- TypeScript + Node.js 18+
@modelcontextprotocol/sdk(MCP server)zod(schema validation and AI type guidance)- No external SVG libraries, pure XML construction
- Vitest (397 tests)
License
MIT. Built by arikusi.
Source: README.md at commit de074a4
Tools
0Version history
1- v0.5.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
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- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts