by Bearisbug · MCP Server · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add --transport http quilt http://127.0.0.1:3100/mcpTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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.
| Stars | 102 |
| Forks | 2 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-22 |
| Created | 2026-09-20 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~16k |
Quilt AI-native infinite-canvas design tool. Describe an app, get a set of consistent multi-screen HTML designs on an infinite canvas, click through them as a working prototype, and let your local coding agent read and write the canvas over MCP. English · 中文 Quilt runs entirely on your machine: one process, no accounts, no cloud backend. Data lives in .
Looking for a Quilt alternative? If you're comparing Quilt with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Penpot MCP server
A Unicode canvas for humans and AI. Draw diagrams, interfaces, and slides as editable text.
An infinite canvas desktop app for visually managing terminals
AI生图工作台 (AI Image Generator)、视频工作台。支持 Agent 与工作台模式、无限画布、素材管理、提示词反推/广场及 PWA，支持外链式配置；可接入 Grok、GPT Image 2 等自定义模型
面向个人的本地多 Agent 协同工作空间。与拥有独立身份与持久记忆的 AI 队友深度协作：频道分工、任务指派、无限矢量画布与原生 MCP。A local-first multi-agent collaborative
Giving Claude ability to run code with E2B via MCP (Model Context Protocol)
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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: