Vvriter
VV knowledge layer for AI agents β MCP server exposing Visualize Value frameworks, voice, and content
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vvriter
MCP server that generates articles from 50,000 tweets and 400 visual artworks. One command. Three article concepts. Pick a number.
Why
AI is writing articles about our ideas whether we participate or not. So we built the source material β 50,000 tweets, 400 visuals, and an exact writing profile β into a tool anyone can plug into their AI agent.
Install
npx vvriter
Claude Code
claude mcp add vvriter -- npx vvriter
Claude Desktop / Cursor / Windsurf
Add to your MCP config:
{
"mcpServers": {
"vvriter": {
"command": "npx",
"args": ["vvriter"]
}
}
}
How it works
- Call
vvriterwith no arguments - Pick from 3 article concepts
- Article saves to
~/vvriter/and opens in your browser
The tool loads a randomized sample of tweets and visuals. The AI finds idea clusters. Every call shuffles β you never get the same suggestions twice.
How it was built
Full technical breakdown: How to Build an MCP Server for AI-Powered Content Generation
Related
- jackbutcher.md β the writing profile that powers the voice
- How the writing profile was made
About Visualize Value
Art, courses, and tools by Jack Butcher. 5 courses, 168 lessons, 55,000+ students, 607 five-star reviews.
- Courses β leverage, value creation, building independently
- Workflows β how things get built with AI
- Art β Checks ($250M+), Opepen, Self Checkout
- Visuals β 600+ visual artworks
- The $99 MBA β all 5 courses for $99/year
License
MIT
