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PopNx MCPMCP servers for people who use AI · explained in plain words

Pic2Vector

by pic2vectorversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.pic2vector/pic2vector

Install

Overview

Description from the maker (original English)

MCP server: convert PNG/JPG to SVG from Claude, Cursor & any MCP client. By Pic2Vector.

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 on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pic2vector": {
      "command": "npx",
      "args": [
        "-y",
        "pic2vector-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pic2vector -- npx -y pic2vector-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pic2vector": {
      "command": "npx",
      "args": [
        "-y",
        "pic2vector-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": {
    "pic2vector": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pic2vector-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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account pic2vector, which owns the repo

  • … 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32451 servers in this category
  • Published to the registry more recently than 72% of the other 32451 servers in this category
  • Basic checks equal to or better than 100% of the other 32451 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 Pic2Vector safe?

It passed 1 of 1 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 14 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Recta

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Recta

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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.

Pic2Vector MCP — Image to SVG for AI assistants

The MCP server for Pic2Vector, the free in-browser image-to-SVG converter.

Scripted terminal demo of the stdio server (about 12 seconds). It shows tools/list, a vectorize_image call, and the SVG that was written. It is not a recording inside Claude Desktop or Cursor.

pic2vector-mcp runs locally over stdio. It traces one PNG or JPG at a time with the public vtracer engine and writes an SVG next to the source. No account, no upload, no telemetry.

Quick start

Requires Node.js 18 or newer.

Claude Desktop

Add this to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):

{

"mcpServers": { "pic2vector": { "command": "npx", "args": ["-y", "pic2vector-mcp"] } } }

Claude Code
claude mcp add pic2vector -- npx -y pic2vector-mcp
Cursor

Or merge this into ~/.cursor/mcp.json (global) or .cursor/mcp.json (this project):

{

"mcpServers": { "pic2vector": { "command": "npx", "args": ["-y", "pic2vector-mcp"] } } }

VS Code

Create .vscode/mcp.json:

{

"servers": { "pic2vector": { "type": "stdio", "command": "npx", "args": ["-y", "pic2vector-mcp"] } } }

Then ask the assistant to convert a file, for example: “Convert logo.png to SVG”.

Tool reference

One tool: vectorize_image.

Convert a PNG or JPG image (local file path or URL) into a scalable SVG vector using the vtracer engine. Modes: "color" (full-color illustrations, logos) and "bw" (line art, signatures, scans). Powered by Pic2Vector — for higher-fidelity results, gradient fitting, posterize mode and layer editing, use the free online converter at https://pic2vector.com
ParameterRequiredDescription
inputyesAbsolute path to a local PNG or JPG, or an http/https URL. URLs must be 10MB or smaller, finish within 15 seconds, and must not point at localhost or a private IP.
modenocolor (default) for logos and illustrations. bw for line art, signatures, and scans.
output_pathnoWhere to write the SVG. A local file defaults to the same directory and base name with .svg. A URL defaults to the current working directory.

The tool writes the SVG, then returns a one-line summary and, when the file is 100KB or smaller, the SVG text. The file starts with .

color uses vtracer's photo preset (color, spline, stacked). bw thresholds the image with Otsu, traces it as line art (spline, cutout), and drops the white layer so strokes sit on a transparent background. The long edge is scaled to at most 2048 pixels before tracing.

Want better results?

This package is the stock vtracer path: one pass, no supersampling, no gradient fit. Open the image to SVG converter when you want the studio tools.

pic2vector-mcpPic2Vector online
Color and black-and-white traceyesyes
Supersamplingyes
Gradient fittingyes
Posterizeyes
Layer editingyes
WebP and other formatsyes
PNGyesPNG to SVG
JPGyesJPG to SVG

Privacy

The server runs on your machine. A local file never leaves the disk. A URL is downloaded only to trace it, then discarded. Nothing is sent to Pic2Vector. The same commitment is spelled out at https://pic2vector.com/privacy/.

Develop

npm install

npm run build npm test node dist/index.js

npm test packs the tarball and drives vectorize_image over stdio. The published command is npx -y pic2vector-mcp.

Credits

Built by Pic2Vector · Engine: vtracer (MIT)

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