No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by op7418 · MCP Server · ★ 57
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Generative UI MCP An MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more. Inspired by Anthropic's Artifacts and Vercel's Generative UI. This server provides structured design guidelines so AI models produce consistent, streaming-safe, visually polished widgets. What it does Instead of stuffing thousands of tokens of design rules into every system prompt, this MCP server lets the model load guidelines on demand — only when it actually needs to generate a visualization. The model calls with the modules it needs, and gets back comprehensive design specs including: Core design system (philosophy, streaming rules, CSS variables) Color palette (6 ramps with semantic usage rules) Component patterns and code templates SVG setup guides with arrow markers and viewBox calculations 8 diagram types with layout rules and code examples Quick start Auto-install via AI Copy and paste the following prompt into your AI
| Stars | 57 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.7865131952012/100 |
| Last Updated | 2026-03-16 |
| Created | 2026-03-16 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~2k |
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Generative-UI-MCP is MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.. It is categorized as a MCP Server with 57 GitHub stars.
Generative-UI-MCP is primarily written in TypeScript. It covers topics such as ai, chart, claude.
You can find installation instructions and usage details in the Generative-UI-MCP GitHub repository at github.com/op7418/Generative-UI-MCP. The project has 57 stars and 7 forks, indicating an active community.
The top alternatives to Generative-UI-MCP on Agent Skills Hub include arbor, review-analyzer-skill, drawio-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.