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Homotope

by stevenroman91version 1.0.0i★ –iRuns in the cloud
Registry nameapp.homotope/homotope

Install

Overview

Description from the maker (original English)

Vectorize images to SVG, PDF, EPS or DXF, and check a DXF before cutting.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://homotope.app/mcp

Run this in your terminal

claude mcp add --transport http homotope https://homotope.app/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "homotope": {
      "url": "https://homotope.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "homotope": {
      "type": "http",
      "url": "https://homotope.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://homotope.app/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain homotope.app (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 259 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2181 servers in this category
  • Published to the registry more recently than 81% of the other 2181 servers in this category
  • Basic checks equal to or better than 100% of the other 2181 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Homotope safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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

ImportWhatDependencies
@homotope/enginevectorize, presetOptions, PRESET_NAMES, all typesnone
@homotope/engine/exportconvertSvg (SVG → PDF, DXF, EPS), exportLayers, sceneFromSvgnone
@homotope/engine/cutcheckcheckSvg, simplifySvg: cut-readiness report for cuttersnone
@homotope/engine/nodedecodePng, decodeJpeg, encodePng, encodeJpegpngjs, 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 ('#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 ) => { 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.

PresetFor
logoFlat colours, crisp corners, straight lines kept straight
illustrationUp to 32 colours, smoother curves, light gradients, stacked shapes
pixel-artExact pixel grid, no curves, zero error
line-artInk drawings and text: two colours, filled shapes
centerlineStrokes traced as single open paths (plotter, laser engraving)
black-whiteTwo colours from an automatic (Otsu) threshold
photoUp 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

  • viewBox in the pixel coordinates of the original image, cubic Béziers, one 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.palette lists the colours (sRGB and OKLab, pixel counts); result.stats the number of paths and nodes; result.timings the 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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