shadcn-svelte-mcp: tmcp MCP server for live shadcn-svelte docs, Bits UI API, and Lucide icons

by Michael-Obele · MCP Server · ★ 58

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install shadcn-svelte-mcp

npx skills add Michael-Obele/shadcn-svelte-mcp --skill shadcn-sveltekit-design
npx skills add Michael-Obele/shadcn-svelte-mcp --skill shadcn-sveltekit-design --agent github-copilot -g -y

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

mcpmcp-servershadcnshadcn-sveltesveltesveltekittmcp

Quick Facts

Stars58
Forks4
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score72/100
Last Updated2026-10-03
Created2025-10-21
Platformsmcp, node
Est. Tokens~18k

About shadcn-svelte-mcp

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.

Compatible Skills

These tools work well together with shadcn-svelte-mcp for enhanced workflows:

  • svelte-skills-kit — semantic(0.35)+complementary+rare_topics+similar_pop (52%)
  • mcp-svelte-docs — semantic(0.43)+rare_topics+same_lang+similar_pop+shared_platform (49%)
  • fulling — semantic(0.19)+complementary+same_lang+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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