
Connect Mjml Email Markup to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Convert MJML code into production-ready responsive HTML emails.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 1 capability
We ship only the actions that matter.
01
1 capability in this set.
Part of 1 available through MJML.
- 01
Render mjml
This capability converts MJML XML or JSON strings into responsive HTML. Your agent uses it to turn markup into production-ready code.
Real work
What teams actually run
Email Prototyping
Quickly test new layout ideas by describing them to your agent and rendering the MJML.
Automated HTML Generation
Convert JSON-based MJML structures into full HTML files for deployment.
IDE Integration
Generate and validate email code without leaving your development environment.
Design Validation
Check if your MJML syntax is correct and see the rendered result immediately.
Automate a task
Put MJML to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
MJML works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put MJML to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
971ms average. Fast in production.
MJML is checked daily against the live service.
- Fastest day
- 701ms
- Slowest day
- 1325ms
- 14-day trend
- Improving-33%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MJML, so you can see the experience inside your AI.
It does not authenticate your account with MJML. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
MJML Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_LwlmmoPeznMVTkYs7MAzFYiK3XjrkSp7oDHD4F4u/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — MJML capabilities are ready to use.
{
"mcpServers": {
"mjml-email-markup-mcp": {
"url": "https://edge.vinkius.com/vk_preview_LwlmmoPeznMVTkYs7MAzFYiK3XjrkSp7oDHD4F4u/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up MJML in Claude and other AIs
Who it's for
Built for the work MJML owners hand off.
This MCP is built for professionals who need to move from email concepts to functional code without the usual layout headaches.
- 01
Developers
They use the MCP to generate email HTML directly in their IDE without writing complex CSS.
- 02
Marketing Teams
They use it to preview how MJML-based campaign designs will look before they go live.
- 03
Designers
They use the capability to validate MJML syntax and see visual results through the AI.
FAQ
Questions MJML owners ask.
- 01
What is MJML?
MJML is an email markup language that simplifies the creation of responsive emails. It handles the complex CSS and table structures required for different email clients.
- 02
Which email clients will the generated HTML work on?
The HTML generated by this MCP is designed to work across major clients including Outlook, Gmail, and Apple Mail.
- 03
Can I use JSON instead of XML?
Yes, the render_mjml capability accepts both MJML XML and JSON strings for rendering.
- 04
Do I need to provide my own API keys?
Yes, you will need to enter your MJML Application ID and API Key to use this MCP.
- 05
How do I use this in Cursor or VS Code?
Once you connect the MCP to your client, you can simply ask your agent to render MJML code using the available capabilities.
- 06
Can I render MJML from a JSON string instead of XML?
Yes! The render_mjml capability accepts both raw MJML XML and MJML JSON strings. The engine will automatically detect the format and transpile it into responsive HTML.
- 07
What is the maximum size of the generated HTML output?
The integration supports an egress limit of up to 5MB, which is more than enough for even the most complex and content-heavy responsive email templates.
- 08
Does the capability validate my MJML syntax during rendering?
Yes, the render_mjml capability uses the official MJML engine which performs validation during the transpilation process to ensure the resulting HTML is compliant with email client best practices.
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Connect MJML to Claude, Cursor, ChatGPT & more
