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

Convert MJML (Email Markup) to responsive HTML directly inside your Vercel AI SDK app. Stream design updates as your agent writes.

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Connect MJML (Email Markup) MCP to Vercel AI SDK

Create your Vinkius account to connect MJML (Email Markup) to Vercel AI SDK 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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Setup MJML (Email Markup) with Vercel AI SDK

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Real-time MJML (Email Markup) rendering

Pipe your raw email templates through the `render_mjml` tool to get production-ready HTML back instantly. Since this MCP Server works with the Vercel AI SDK, your UI updates the preview while the agent generates the markup. Stop waiting for manual build steps or local transpilation. Your frontend receives the string output of `render_mjml` and renders the email component immediately.

Automated email template generation

Give your agent instructions to build a transactional email and have it output the exact `render_mjml` call needed. Your code handles the transpilation, meaning the agent writes the email structure and the tool ensures it hits the inbox correctly. This workflow forces the agent to respect responsive email standards. It turns a vague request into a tested, functional template in seconds.

Edge-ready email transpilation

Run your email logic on the edge using this MCP Server. The `render_mjml` tool handles the heavy lifting of converting XML to legacy-safe HTML tags without bloating your main application bundle. It keeps your Vercel AI SDK deployments light. You get consistent, responsive layouts that work in Outlook and Gmail without shipping a massive library on every request.

Setup guide

Set up MJML (Email Markup) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all MJML (Email Markup) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent MJML (Email Markup) transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about MJML (Email Markup) MCP in Vercel AI SDK

Install the MCP client package and connect it to your Vercel AI SDK instance. Once connected, your agent calls the `render_mjml` tool to turn your XML into HTML.

Yes, it integrates directly. You can stream the tool results into your UI so the user sees the email layout build out as the agent works.

The server returns clear errors if your markup is broken. Your agent reads these logs and fixes the syntax automatically.

It only touches the raw MJML strings you send to the tool. No data is stored or cached once the rendering process finishes.

It adds negligible latency to your response cycle. Most templates render in under 50ms, keeping your user experience snappy.

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