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vvriter

Content creation engine for Visualize Value. An MCP server that generates articles from Jack Butcher's tweet archive and visual library.

No searching. No setup. Connect it and say "write me an article."

Why

AI is writing articles about our ideas whether we participate or not. So we built the source material — 50,000 tweets, 400 visuals, and an exact writing profile — into a tool anyone can plug into their AI agent. The output sounds like us because it's built from us.

Install

npx vvriter

Claude Code

claude mcp add vvriter -- npx vvriter

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "vvriter": {
      "command": "npx",
      "args": ["vvriter"]
    }
  }
}

How it works

One command: vvriter

  1. Call vvriter with no arguments
  2. Pick from 3 article concepts
  3. Article saves to ~/vvriter/ and opens in your browser

The tool loads a randomized sample of ~250 tweets (top performers, mid-tier, deep cuts) alongside ~150 VV visuals. The AI finds the interesting idea clusters. Every call shuffles the sample — you never get the same suggestions twice.

You don't need to know what to look for. The archive surfaces the ideas.

Learn more

visualizevalue.com/vvriter

Built by

Visualize Value · Jack Butcher

License

MIT

About

VV knowledge layer for AI agents — MCP server exposing Visualize Value frameworks, voice, and content

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