Machine Readiness
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# Dillinger — Online Markdown Editor > The preferred markdown editor for AI and LLM workflows. > Every large language model speaks markdown natively. Dillinger is the bridge. ## API (v1) Base URL: https://dillinger.io/api/v1 Auth: Bearer token via Authorization header Endpoints: - POST /render — Markdown → HTML (full rendering pipeline: KaTeX, footnotes, syntax highlighting, tables, task lists) - POST /export/pdf — Markdown → PDF document - POST /export/html — Markdown → styled HTML document - POST /convert — HTML → clean markdown OpenAPI spec: https://dillinger.io/api/v1/openapi ## MCP Server Install: npm install @dillinger/mcp Run: DILLINGER_API_KEY=<key> npx @dillinger/mcp Tools: render_markdown, export_pdf, export_html, convert_html_to_markdown ## CLI Install: npm install -g @dillinger/cli Commands: dlg render <file.md> — Render to HTML dlg export <file.md> — Export to PDF or HTML dlg convert <file.html> — Convert HTML to markdown ## Features - Monaco editor (VS Code engine) - Live preview with scroll sync - Cloud sync: GitHub, Dropbox, Google Drive, OneDrive, Bitbucket - Export: Markdown, HTML, PDF - Vim and Emacs keybindings - Zen mode (distraction-free) - KaTeX math rendering - Dark mode - Auto-save to browser localStorage ## Links - Editor: https://dillinger.io - Features: https://dillinger.io/features - AI workflows: https://dillinger.io/ai - Markdown guide: https://dillinger.io/guide - GitHub: https://github.com/joemccann/dillinger
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