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MJML (Email Markup) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Render Mjml

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MJML (Email Markup) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The MJML (Email Markup) MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using MJML (Email Markup), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MJML (Email Markup)
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About MJML (Email Markup) MCP Server

Connect the MJML engine to your AI agent to generate professional, responsive email templates using natural language. MJML is the industry standard for ensuring emails look great across all clients like Outlook, Gmail, and Apple Mail.

The Vercel AI SDK gives every MJML (Email Markup) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Responsive Rendering — Convert MJML XML or JSON strings into production-ready HTML in seconds
  • Email Prototyping — Rapidly iterate on email designs within your chat or code editor
  • Best Practices — Ensure your markup follows email client standards automatically without manual table hacking

The MJML (Email Markup) MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 MJML (Email Markup) tools available for Vercel AI SDK

When Vercel AI SDK connects to MJML (Email Markup) through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-templates, responsive-design, html-rendering, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

render

Render mjml on MJML (Email Markup)

Provide the raw MJML XML or JSON string. Render MJML markup to responsive HTML

Connect MJML (Email Markup) to Vercel AI SDK via MCP

Follow these steps to wire MJML (Email Markup) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 1 tools from MJML (Email Markup) and passes them to the LLM

Why Use Vercel AI SDK with the MJML (Email Markup) MCP Server

Vercel AI SDK provides unique advantages when paired with MJML (Email Markup) through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MJML (Email Markup) integration everywhere

03

Built-in streaming UI primitives let you display MJML (Email Markup) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

MJML (Email Markup) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the MJML (Email Markup) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query MJML (Email Markup) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate MJML (Email Markup) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed MJML (Email Markup) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with MJML (Email Markup) through natural language queries

Example Prompts for MJML (Email Markup) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MJML (Email Markup) immediately.

01

"Render this MJML code to HTML: <mjml><mj-body><mj-section><mj-column><mj-text>Hello World</mj-text></mj-column></mj-section></mj-body></mjml>"

02

"Can you use render_mjml to convert a JSON-based MJML structure into a responsive email?"

03

"Generate a responsive button in MJML and render it to HTML."

Troubleshooting MJML (Email Markup) MCP Server with Vercel AI SDK

Common issues when connecting MJML (Email Markup) to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MJML (Email Markup) + Vercel AI SDK FAQ

Common questions about integrating MJML (Email Markup) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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