doop: The open-source alternative to Paper.design

by kgoedecke · MCP Server · ★ 1.7k

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

How to install doop

git clone https://github.com/kgoedecke/doop && cd doop
claude mcp add --transport http doop http://localhost:4300/mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 64/100

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. 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.

ai-agentscanvasclaudeclaude-codeclaude-designcodexdesigndesign-toolmcpmultiplayer

Quick Facts

Stars1,725
Forks202
LanguageTypeScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score64/100
Open Issues77
Last Updated2026-11-05
Created2026-08-22
Platformsclaude-code, codex, mcp, node
Est. Tokens~19k

About doop

Doop is the open-source alternative to Paper.design — a multiplayer design canvas for humans and AI agents. Every design lives on a shareable Canvas () holding Frames — artboards that render real HTML in sandboxed iframes. People edit in the browser; AI agents edit through the built-in MCP server, streaming their designs in live.

Compatible Skills

These tools work well together with doop for enhanced workflows:

  • typeui — semantic(0.48)+complementary+rare_topics+same_lang+shared_platform (61%)

doop alternative? Top 6 similar tools

Looking for a doop alternative? If you're comparing doop 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.

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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:

View on GitHub → Browse MCP Server tools