Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server: convert PNG/JPG to SVG from Claude, Cursor & any MCP client. By Pic2Vector.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account pic2vector, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 14 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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.
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.
Requires Node.js 18 or newer.
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 mcp add pic2vector -- npx -y pic2vector-mcp
Or merge this into ~/.cursor/mcp.json (global) or .cursor/mcp.json (this project):
{
"mcpServers": { "pic2vector": { "command": "npx", "args": ["-y", "pic2vector-mcp"] } } }
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”.
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
| Parameter | Required | Description |
|---|---|---|
input | yes | Absolute 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. |
mode | no | color (default) for logos and illustrations. bw for line art, signatures, and scans. |
output_path | no | Where 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.
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-mcp | Pic2Vector online | |
|---|---|---|
| Color and black-and-white trace | yes | yes |
| Supersampling | yes | |
| Gradient fitting | yes | |
| Posterize | yes | |
| Layer editing | yes | |
| WebP and other formats | yes | |
| PNG | yes | PNG to SVG |
| JPG | yes | JPG to SVG |
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/.
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.
Built by Pic2Vector · Engine: vtracer (MIT)