doory: Open source canva alternative

by shaongitbd · MCP Server · ★ 1.8k

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

Security audit verdict: SAFE · quality 53/100

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.

canva-alternativecollaborative-editingdesign-editordesign-tooldjangofabricjsgraphic-designmcp-serveropen-sourcereact

Quick Facts

Stars1,803
Forks138
LanguageTypeScript
CategoryMCP Server
Quality Score53/100
Open Issues14
Last Updated2026-10-23
Created2026-10-10
Platformsmcp, node
Est. Tokens~16k

About doory

Doory Doory is a design editor that runs in the browser: posters, social posts, stories, slides, invitations, resumes, thumbnails and business cards. You start from a template or a blank page, edit everything on it, and export PNG, JPG, SVG, PDF, MP4 or GIF. There is no paid plan, you don't need an account to start, and you can run it on your own server with Docker or without it.

Compatible Skills

These tools work well together with doory for enhanced workflows:

  • open-codesign — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • superlog — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • typeui — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • layrr — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • layrr — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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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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