Email.md: Convert Markdown to responsive email-safe HTML

What it does

Email.md converts Markdown into responsive, email-safe HTML. Writers compose emails in Markdown syntax—similar to what they use in README files—and the tool generates HTML that renders consistently across Gmail, Outlook, Apple Mail, and Yahoo. The output uses MJML under the hood to produce tables and inline styles that work everywhere, including Outlook. Users never see the generated HTML markup.

Who it is for

Developers and teams who send transactional or marketing emails and want to avoid writing raw HTML. Anyone familiar with Markdown can use the syntax without learning email-specific templating languages. Teams using Claude or other AI assistants can leverage the emailmd MCP server to have AI draft emails with live preview links.

Pricing

The site does not show prices.

How it stands out

Email.md abstracts away Outlook compatibility and email client quirks. It includes 17 layout directives as fenced blocks—photo heroes, responsive columns, callouts, accordions, dividers—eliminating manual HTML nesting. The tool generates dark mode automatically from brand colors set in frontmatter. Built-in linting catches missing alt text, insecure links, Gmail's 102KB clip limit, and spam-filter triggers before send. Plain-text email parts are auto-generated from the same Markdown, so HTML and text never drift. Charts render as ASCII text and cell-based graphics rather than images or SVG, so they display even when clients block remote content. An MCP server integration allows AI assistants to write, lint, and render emails with live preview.

What a founder should check

First, validate demand for a Markdown-to-email product against entrenched players like Mailgun, SendGrid, and MJML itself. These incumbents already offer template builders and CLI tools; understand what switching costs prevent adoption. Second, examine the moat. MJML is open-source; emailmd's value lies in developer experience and convenience rather than proprietary rendering. Check whether competitors can replicate the feature set quickly. Third, assess pricing pressure. If Email.md charges per send or per user, test whether the value justifies cost against free alternatives like writing Markdown and running MJML locally via npx.

Thinking of building something like this?

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