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 Michael-Obele · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is shadcn-svelte-mcp safe to install? View the security audit →
shadcn-svelte-mcp Mastra MCP server and tooling that provides real-time access to shadcn-svelte component documentation and developer utilities using web scraping. Production Deployments Mastra Cloud is the primary deployment: zero cold start, fast tool discovery, and the same toolset over both transports. [!NOTE] This project follows our Code of Conduct and welcomes contributions! See our Contributing Guidelines for details. This repository contains a Mastra-based MC
| Stars | 58 |
| Forks | 5 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.5749975713113/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-13 |
| Created | 2025-10-21 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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shadcn-svelte-mcp is tmcp MCP server for live shadcn-svelte docs, Bits UI API, and Lucide icons.. It is categorized as a MCP Server with 58 GitHub stars.
shadcn-svelte-mcp is primarily written in TypeScript. It covers topics such as mcp, mcp-server, shadcn.
You can find installation instructions and usage details in the shadcn-svelte-mcp GitHub repository at github.com/Michael-Obele/shadcn-svelte-mcp. The project has 58 stars and 5 forks, indicating an active community.
shadcn-svelte-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to shadcn-svelte-mcp on Agent Skills Hub include openquok-monorepo, autosteer, lakevision. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: