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Mailjet MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Mailjet, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Mailjet
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mailjet MCP Server

Connect your Mailjet account to any AI agent to automate your transactional messaging and email marketing workflows. This MCP server enables your agent to send emails using the v3.1 Send API, manage subscriber lists, and track campaign performance directly from natural language interfaces.

The Vercel AI SDK gives every Mailjet tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Transactional Delivery — Send single or batch emails with full support for HTML, attachments, and variables
  • Audience Management — List all contacts, create new subscriber records, and manage contact lists (address books)
  • Subscription Control — Add or remove contacts from specific lists and manage opt-in statuses programmatically
  • Campaign Tracking — List historical campaigns and retrieve real-time performance statistics (opens, clicks, bounces)
  • Metadata Oversight — Fetch detailed configuration and status for any campaign or subscriber collection

The Mailjet MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mailjet to Vercel AI SDK via MCP

Follow these steps to integrate the Mailjet MCP Server with Vercel AI SDK.

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 8 tools from Mailjet and passes them to the LLM

Why Use Vercel AI SDK with the Mailjet MCP Server

Vercel AI SDK provides unique advantages when paired with Mailjet 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 Mailjet integration everywhere

03

Built-in streaming UI primitives let you display Mailjet 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

Mailjet + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Mailjet MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Mailjet in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Mailjet tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Mailjet capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Mailjet through natural language queries

Mailjet MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Mailjet to Vercel AI SDK via MCP:

01

add_contact_to_list

Requires list ID and contact ID/Email. Subscribe a contact to a specific list

02

create_new_contact

Requires at least an Email address. Add a new contact to the database

03

get_campaign_details

Get details for a specific campaign

04

get_campaign_performance

Get performance statistics for a campaign

05

list_all_contacts

List all contacts in the Mailjet account

06

list_marketing_campaigns

List all campaigns

07

list_subscriber_lists

List all contact lists

08

send_transactional_email

Requires a JSON body matching Mailjet v3.1 Send API structure. Send an email using Mailjet Send API v3.1

Example Prompts for Mailjet in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mailjet immediately.

01

"Send a transactional email to 'passenger@example.com' with subject 'Boarding Pass'."

02

"List all active contact lists in my Mailjet account."

03

"Show performance stats for campaign ID '12345'."

Troubleshooting Mailjet MCP Server with Vercel AI SDK

Common issues when connecting Mailjet to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Mailjet + Vercel AI SDK FAQ

Common questions about integrating Mailjet 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.

Connect Mailjet to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.