dillinger

# 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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