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How to Use the MJML (Email Markup) MCP in Mastra AI

Build reliable email workflows in Mastra AI using the MJML (Email Markup) MCP Server for consistent, responsive output.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect MJML (Email Markup) MCP to Mastra AI

Create your Vinkius account to connect MJML (Email Markup) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Conditional email rendering in Mastra AI

Use `render_mjml` inside your Mastra AI workflow to generate emails only after specific conditions are met. If a user action triggers an alert, the agent runs the tool to format the notification perfectly. It ensures every automated email is responsive before it hits the delivery queue. If the tool hits a syntax error, the workflow catches it and triggers a retry or notifies the admin.

Multi-step transactional email pipelines

Chain the `render_mjml` tool with other services to build complex email delivery systems. Your Mastra AI agent can generate the content, transpile it, and pass the output to your SMTP provider. This keeps your email logic centralized in your agent's workflow. It makes debugging much easier because you can trace the exact input sent to the renderer.

Human-in-the-loop email review

Set up a workflow where the agent uses `render_mjml` to draft an email, then pauses for your approval. You see the rendered result before the agent sends it out. It adds a layer of safety to your automated communications. You maintain control over the final output while the agent does the grunt work of writing the responsive markup.

Setup guide

Set up MJML (Email Markup) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All MJML (Email Markup) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mjml-email-markup-mcp-client",
  servers: {
    "mjml-email-markup-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "MJML (Email Markup) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to MJML (Email Markup) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent MJML (Email Markup) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MJML. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about MJML (Email Markup) MCP in Mastra AI

Register this MCP Server as a tool in your agent configuration. You then call `render_mjml` directly within your workflow steps.
Yes, you can define retry policies in your workflow. If the rendering fails, the system automatically tries again or alerts you.
Absolutely. You can branch your workflow based on the output of the rendering tool to decide whether to send or rewrite the email.
It only processes the specific MJML strings passed to it by your agent. No sensitive user info is retained or logged by the server.
The rendering is fast and happens within the workflow execution. It won't bottleneck your agent's logic.

Start using the MJML (Email Markup) MCP today

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