LogoLab

Trace, edit, clean, and export logos and icon sets locally through a browser-based workflow.

Developer Tools
No ratings
UpdatedOct 14, 2026

Install LogoLab

Pick your client, then add it in one click or paste the config.

STDIONode.js

~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "logolab": {
      "command": "npx",
      "args": [
        "-y",
        "logolab"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

logo
svg
image-processing
developer-tools

LogoLab MCP server provides a browser-local workflow for cleaning logos, tracing raster images into SVG, editing vector paths, and exporting app icons. It processes images in the browser, with no uploads, backend, or sign-up, and can cache optional models for offline use. Reach for it when an agent workflow needs to turn generated or hand-made logo assets into editable SVGs, favicons, PWA icons, or separate icons from a sheet.

Use cases

Clean generated logo backgrounds before reuse
Trace raster logos into editable SVGs
Preview marks at small sizes and in light or dark contexts
Export favicon and PWA icon packages
Split captioned icon sheets into individual assets

Key features

Browser-local background removal
Raster-to-SVG vectorization
SVG path and layer editing
Context and size previews
Favicon and PWA icon export
Icon-sheet splitting and naming

How LogoLab works

What LogoLab MCP server does

LogoLab MCP server supports a complete local workflow for preparing logos and app icons. It can preview an image in contexts such as browser tabs, navigation bars, app splash screens, store listings, social avatars, and light-or-dark size matrices. The workflow also includes background cleanup, vectorization, SVG editing, and packaged icon export.

The input may be a raster image, an existing SVG, a generated icon sheet, or a blank artboard. A sheet can be split into individual icons, with captions used as filenames when available. The resulting assets can be downloaded as SVGs, PNGs, or a ZIP containing web and app icon files.

How it works

Processing takes place in the browser. Background removal includes corner flooding, connected-region selection, color removal, manual erase and restore brushes, and an optional segmentation model. Cleanup controls include tolerance, edge softness, defringing, undo and redo, and a light or dark transparency checkerboard.

The vectorizer analyzes image regions and creates clean curves. It can preserve gradients, trace one-color artwork as a monochrome shape, or represent line art as editable strokes. Auto, Color, and Mono modes provide different tracing approaches. Optional upscaling can enlarge small raster inputs before tracing; the super-resolution model is loaded only when enabled.

Tools and capabilities

Preview logos against device screenshots, browser interfaces, app screens, avatars, and custom backgrounds.
Add a colored backplate, change tint, invert a monochrome mark, and inspect a live favicon.
Remove backgrounds automatically or manually, then send the transparent result into later stages.
Trace raster artwork into editable SVG paths with smoothing, despeckling, fidelity, region markers, and background-removal controls.
Compare the traced result with the source through split, overlay, original, traced, and difference views, including a ΔE readout.
Edit SVGs with move, node, pen, shape, layer, snapping, grid, fill, stroke, alignment, and path-operation tools.
Export favicon, Apple touch, Android, Chrome, maskable, and Windows tile assets with a manifest and HTML head snippet.
Split icon sheets using detected boxes, an even grid, or manually drawn regions, then export named SVGs, PNGs, or both.

Limitations and notes

The supplied material describes a browser application rather than a documented remote service. It does not specify an MCP transport, command-line installer, callable MCP tool schema, authentication method, environment variables, or client integrations. No uploads, backend, or sign-up are required for the browser workflow.

Optional AI features download models in the browser. The background-removal model is cached after its first use, and the caption-recognition engine is fetched when a sheet contains captions. The optional raster upscaler is disabled by default, applies only to small raster images, and is not used for SVGs or sufficiently large rasters.

Read the full README View source on GitHub

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

Supply-chain signal

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Scanned 1d ago via OSV.dev · logolab (npm)

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Frequently Asked Questions about LogoLab

LogoLab is an MCP server that connects a local browser-based logo workflow to tools for background cleanup, raster-to-SVG tracing, SVG editing, contextual previews, icon-sheet splitting, and favicon or PWA export. Images stay in the browser, with no uploads, backend, or sign-up required for the described workflow.

No MCP installation procedure is provided in the supplied material. LogoLab is described as a browser-based PWA with a live web app, and the documentation does not specify a package, transport, command-line setup, or client configuration.

Yes, the browser workflow is designed to work offline after required models are cached. The AI background-removal model downloads on first use and is then cached, while the caption-recognition engine is fetched and cached when needed for captioned icon sheets.

Yes, LogoLab can trace raster artwork into an editable SVG. Its vectorizer supports automatic, color, and monochrome modes, line-art strokes, gradients, smoothing, despeckling, fidelity controls, node editing, and optional upscaling for small raster inputs.

Yes, LogoLab exports a ZIP containing favicon files, including a multi-size favicon.ico, Apple touch icons, Android and Chrome icons, maskable icons, Windows tiles, a web manifest, and an HTML head snippet.

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At a glance

Category: Developer Tools
Transport: STDIO
Runtime: Node.js
Last updated: Oct 14, 2026

GitHub stars0

Last commit3d ago

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.