Mjml Server

MJML wrapped in Express for use over HTTP

Digital Marketing & SEOJavaScriptMIT

Abstract

Mjml Server is an open-source Digital Marketing & SEO project. MJML wrapped in Express for use over HTTP. A self-hosted alternative to the mjml API. Built with express. It is built using JavaScript, Node.js, Express. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

A self-hosted alternative to the mjml API. Built with express.

You're writing an app in another language than Javascript and need to interop with MJML. Instead of embedding NodeJS in your Python image you can call MJML compilation over HTTP.

2. Objective

MJML wrapped in Express for use over HTTP

This project demonstrates how JavaScript, Node.js, Express can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

JavaScriptNode.jsExpress

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Node.js (LTS) and npm
  • A modern web browser
  • VS Code or any code editor
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/danihodovic/mjml-server.git
cd mjml-server
docker run -p 15500:15500 danihodovic/mjml-server
$ http POST localhost:15500/v1/render
HTTP/1.1 200 OK
Connection: keep-alive
Content-Length: 2141
Content-Type: application/json; charset=utf-8
Date: Mon, 15 Jul 2019 12:26:48 GMT
ETag: W/"85d-hn49R397DBvYcOi5/4cb+gcoi/I"
X-Powered-By: Express

{
    "html": "\n    <!doctype html>\n    ..."
}

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by danihodovic and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

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