Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"nakkas": {
"args": [
"-y",
"nakkas@latest"
],
"command": "npx"
}
}
}Are you the author?
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Officially listed on the MCP Registry, Glama, LobeHub, and PulseMCP.
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npx -y 'nakkas' 2>&1 | head -1 && echo "✓ Server started successfully"
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No known CVEs.
Checked nakkas against OSV.dev.
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MCP server that turns AI into an SVG artist.
One rendering engine. AI decides everything.
Officially listed on the MCP Registry, Glama, LobeHub, and PulseMCP.
Both drawn by an AI through nakkas, one JSON config each, iterated against its own PNG previews. Pure CSS animation, no JavaScript.
Nakkas is an MCP (Model Context Protocol) server that lets AI assistants like Claude create animated SVG graphics from a declarative JSON config: logos, icons, loading spinners, GitHub README banners, badges, and generative art. It renders CSS @keyframes and SMIL animations with no JavaScript, so the output works inside GitHub READMEs and anywhere an <img> tag renders SVG. Every render comes back as a PNG preview plus a server-side artifact id, so the AI sees its own work immediately and iterates without the SVG text ever passing through its context window.
nakkaş means painter/artist in Turkish (old).
"make a neon terminal logo with animated binary digits"
→ AI constructs JSON config
→ nakkas renders to animated SVG
→ AI previews the PNG, critiques, revises
→ clean animated SVG output
render_svg takes a JSON config. AI fills in everything.Add to your config file:
~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpSer
... [View full README on GitHub](https://github.com/arikusi/nakkas#readme)