How to Use the Mailjet MCP in Vercel AI SDK

Q: How do I stream Mailjet template data using Vercel AI SDK?

Call gettemplatedetails within your streamText tool call. The Vercel AI SDK streams the raw HTML block directly to your React components, rendering the layout step-by-step.

Q: Can I manage subscriber lists directly from Vercel AI SDK forms?

Yes, you use subscribetolist inside your edge routes. The Vercel AI SDK handles the asynchronous tool execution, letting you update the UI state immediately.

Q: Do I need a separate backend to send emails with this setup?

No. You call sendtemplateemail directly from your client-side edge handlers using the Vercel AI SDK. The managed MCP connection handles the backend communication.

Q: How does the Vercel AI SDK protect contact email addresses?

The integration routes all contact data like listallcontacts through a zero-trust V8 sandbox. Your plain-text email addresses and contact lists are never cached on the Vinkius platform.

Stop waiting for slow API responses and stream Mailjet email metrics directly into your Next.js frontend with Vercel AI SDK.

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Connect Mailjet MCP to Vercel AI SDK

Create your Vinkius account to connect Mailjet 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 Mailjet with Vercel AI SDK

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Live Template Previews in Vercel AI SDK

`get_template_details` fetches the raw HTML structure of your email layouts so your Vercel AI SDK client can render them instantly on the screen. Users see their designs assemble in real-time on the page rather than staring at a blank loading skeleton. This direct rendering relies on the edge-compatible MCP client to bypass heavy backend middleware. Your UI updates immediately as the raw content flows through `list_email_templates` to give users instant visual feedback.

Interactive Audience Growth

`subscribe_to_list` links your user-facing signup forms directly to specific Mailjet subscriber pools without requiring tedious page reloads. The Vercel AI SDK handles the subscription lifecycle inline, allowing your client to confirm list addition without blocking the main browser thread. You can immediately chain this action with `create_new_contact` to build clean contact records on the fly. This setup bypasses traditional API handlers entirely, running your newsletter signups right on the Edge.

Real-Time Analytics Dashboards

`get_account_analytics` pulls your sender reputation and bounce rates directly into a streaming UI component. The Vercel AI SDK lets your agent display these live numbers as they arrive from the mail servers using the Mailjet MCP Server. By feeding the output of `get_campaign_performance` into a streaming UI, you show marketing teams their open rates without forcing them to manually refresh the browser. This turns static email data into a live feed.

Setup guide

Set up Mailjet 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 Mailjet 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 Mailjet transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailjet. 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 Mailjet MCP in Vercel AI SDK

Call `get_template_details` within your streamText tool call. The Vercel AI SDK streams the raw HTML block directly to your React components, rendering the layout step-by-step.

Yes, you use `subscribe_to_list` inside your edge routes. The Vercel AI SDK handles the asynchronous tool execution, letting you update the UI state immediately.

The server runs inside an ephemeral V8 sandbox to manage incoming requests. If you trigger multiple `send_plain_email` calls, the SDK processes them sequentially to avoid hitting rate limits.

No. You call `send_template_email` directly from your client-side edge handlers using the Vercel AI SDK. The managed MCP connection handles the backend communication.

The integration routes all contact data like `list_all_contacts` through a zero-trust V8 sandbox. Your plain-text email addresses and contact lists are never cached on the Vinkius platform.

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