Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"doodleworks-mcp": {
"env": {
"OPENAI_API_KEY": "sk-..."
},
"args": [
"-y",
"doodleworks-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Turn any idea (a blog post, an article, an X post) into hand-drawn "Tinku" illustrations that explain the key concepts, right inside your AI host.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'doodleworks-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked doodleworks-mcp against OSV.dev.
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Turn any idea (a blog post, an article, an X post) into hand-drawn "Tinku" illustrations that explain the key concepts, right inside your AI host.
Bring your own image-API key (OpenAI or Gemini) · local stdio server · flip through, regenerate, and download, all in your host's chat.
Quick start · Add to your host · Using it · Parameters · The viewer · Examples · Configuration · Build from source · How it works
Doodleworks turns a single idea (or a whole blog post, article, or X post) into clean line illustrations that explain its key concepts, one idea per picture. It never draws the topic literally. Instead, it pulls out each concept and reinvents it as a low-tech contraption that Tinku, the app's own character, is physically operating: confident black lines on a pure-white background, with a f