Server data from the Official MCP Registry
Vectorize images to SVG, PDF, EPS or DXF, and check a DXF before cutting.
About
Vectorize images to SVG, PDF, EPS or DXF, and check a DXF before cutting.
Remote endpoints: streamable-http: https://homotope.app/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"app-homotope-homotope": {
"url": "https://homotope.app/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@homotope/engine
This is the engine of Homotope, an image vectorizer that runs in the browser: nothing is uploaded. Try it in the workshop (free, no account needed for SVG and PNG).
Raster-to-vector engine in pure TypeScript: turns a PNG or JPEG (any RGBA pixel buffer) into a clean SVG, and from that SVG into DXF, PDF or EPS. Released under the MIT license.
What this package is not: it has no editor, no server, no REST API, no MCP server and no printer checks; those live in the hosted service. The npm package is frozen at 0.2.0: what it contains is complete and usable on its own.
- No DOM, no runtime dependencies. The core runs unchanged in a Web Worker, in the main thread and in Node. Pixel data stays on the machine: nothing is uploaded anywhere.
- Topology first. The image is quantized in OKLab, segmented into regions, and every shared boundary is fitted once: two neighbouring shapes never overlap and never leave a gap. Holes are kept (an "O" stays an "O").
- Presets for logos, illustrations, pixel art, line art, black & white, photos, and a centerline mode that traces strokes as single open paths (plotters, engraving, embroidery).
- Fabrication exports: DXF (layers per colour, shared edges cut once), PDF, EPS, colour separations, and a cut-readiness check (tiny islands, too-close edges, node counts).
- An alternative to Potrace: no GPL code, full colour, exact shared borders.
Install
npm install @homotope/engine
# Node only, to decode PNG/JPEG files (optional peer dependencies):
npm install pngjs jpeg-js
Requires an ES2022 runtime (Node ≥ 22, any current browser). ESM only.
Entry points
| Import | What | Dependencies |
|---|---|---|
@homotope/engine | vectorize, presetOptions, PRESET_NAMES, all types | none |
@homotope/engine/export | convertSvg (SVG → PDF, DXF, EPS), exportLayers, sceneFromSvg | none |
@homotope/engine/cutcheck | checkSvg, simplifySvg: cut-readiness report for cutters | none |
@homotope/engine/node | decodePng, decodeJpeg, encodePng, encodeJpeg | pngjs, jpeg-js |
Browser bundles only receive what they import: the core never imports pngjs or jpeg-js.
Node example
import { readFileSync, writeFileSync } from 'node:fs';
import { vectorize, presetOptions } from '@homotope/engine';
import { convertSvg } from '@homotope/engine/export';
import { decodePng } from '@homotope/engine/node';
const image = decodePng(new Uint8Array(readFileSync('logo.png')));
const result = vectorize(image, presetOptions('logo'), {
onProgress: (e) => process.stdout.write(`\r${e.stage} ${Math.round(e.progress * 100)}%`),
});
writeFileSync('logo.svg', result.svg);
writeFileSync('logo.dxf', convertSvg(result.svg, 'dxf'));
console.log(`\n${result.palette.colors.length} colours, ${result.stats.paths} paths`);
Browser example (Web Worker)
vectorize is synchronous on purpose: run it in a worker so the page stays responsive. Its
input is any ImageData-like object { width, height, data: Uint8ClampedArray } (RGBA, not
premultiplied).
// main.ts
const bitmap = await createImageBitmap(file);
const canvas = new OffscreenCanvas(bitmap.width, bitmap.height);
const ctx = canvas.getContext('2d')!;
ctx.drawImage(bitmap, 0, 0);
const { width, height, data } = ctx.getImageData(0, 0, bitmap.width, bitmap.height);
const worker = new Worker(new URL('./vectorize.worker.ts', import.meta.url), { type: 'module' });
worker.onmessage = (e: MessageEvent<{ svg: string }>) => {
const url = URL.createObjectURL(new Blob([e.data.svg], { type: 'image/svg+xml' }));
document.querySelector<HTMLImageElement>('#preview')!.src = url; // or offer it as a download
};
worker.postMessage({ width, height, data }, [data.buffer]);
// vectorize.worker.ts
import { vectorize, presetOptions, type RasterImage } from '@homotope/engine';
self.onmessage = (e: MessageEvent<RasterImage>) => {
const { svg } = vectorize(e.data, presetOptions('illustration'));
self.postMessage({ svg });
};
Cancellation is cooperative: pass { cancel: { cancelled: boolean } } as the third argument
(for example backed by a SharedArrayBuffer); vectorize then throws a CancelledError
between and inside stages.
Presets
presetOptions(name) returns a full, independent options object that you can tweak.
| Preset | For |
|---|---|
logo | Flat colours, crisp corners, straight lines kept straight |
illustration | Up to 32 colours, smoother curves, light gradients, stacked shapes |
pixel-art | Exact pixel grid, no curves, zero error |
line-art | Ink drawings and text: two colours, filled shapes |
centerline | Strokes traced as single open paths (plotter, laser engraving) |
black-white | Two colours from an automatic (Otsu) threshold |
photo | Up to 64 colours, denoising, small regions absorbed, stacked shapes |
import { presetOptions, vectorize } from '@homotope/engine';
const options = presetOptions('logo');
options.quantize.colors = 4; // fixed number of colours instead of 'auto'
options.export.precision = 1; // decimals in path data
options.export.mode = 'stacked'; // fewer nodes: shapes stacked instead of cut out
const { svg } = vectorize(image, options);
Every option is typed and documented in VectorizeOptions (preprocess, quantize,
segment, fit, export, centerline).
SVG output
viewBoxin the pixel coordinates of the original image, cubic Béziers, one<path>per colour by default (export.mergeByColor).export.mode: 'cut'(default): every region is an exact path with its holes (fill-rule="evenodd"), no overlap;'stacked': shapes stacked by depth, fewer nodes.- Transparent pixels (
preprocess.alphaMode: 'keep') produce no path. result.palettelists the colours (sRGB and OKLab, pixel counts);result.statsthe number of paths and nodes;result.timingsthe time spent per stage.
Hosted version and API
homotope.app runs this engine in the browser with a visual editor (palette, presets, before/after), plus optional server processing, a REST API and an MCP server for AI assistants: see the API documentation.
Development
npm install
npm test # Vitest, no DOM
npm run typecheck
npm run lint
npm run eval # renders every fixture and measures the error (Resvg)
npm run build # dist/ (ESM + .d.ts)
See CONTRIBUTING.md.
License
MIT.
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