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How to Use the Emarsys MCP in Vercel AI SDK

Build React UIs that stream Emarsys campaign data live with the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Emarsys MCP to Vercel AI SDK

Create your Vinkius account to connect Emarsys 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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Live Campaign Dashboards

Stop showing your users loading spinners. With the Vercel AI SDK, you can stream Emarsys data directly into your Next.js or Svelte components. Your agent calls `list_email_campaigns`, and the results render on screen as they arrive. You can build a real-time monitor. Let your marketing team watch campaign performance by streaming details with `get_campaign_details` or check on automation health with `list_automation_programs`. The data just flows into the UI.

Interactive Segment Explorer

Give your team a way to browse Emarsys without logging into the Emarsys dashboard. Your AI client can use `list_audience_segments` and `list_marketing_contact_lists` to populate interactive tables or dropdowns in your app. When a user clicks a list, your agent fires off a call to `get_contact_list_details` to get the specifics. It's a fast, clean way to expose marketing data inside your own tools.

Account Health via MCP Server

Build a simple status page for your marketing automation. Hook up a button that tells your agent to run a `quick_engagement_volume_audit`. The summary streams straight to the page, giving you a fast health check. You can even show high-level account settings without digging through menus. The agent uses `get_emarsys_account_metadata` and your UI renders the key-value pairs as they're received. It’s a clean interface for a complex system.

Setup guide

Set up Emarsys 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Emarsys transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Emarsys. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Emarsys MCP in Vercel AI SDK

First, connect your client to the Emarsys MCP Server. Then, in your `generateText` call, prompt your agent to 'list all email campaigns.' The Vercel AI SDK automatically invokes the `list_email_campaigns` tool and streams the results back to your UI.
Yes. You can build a React or Svelte front-end and use the AI SDK to call tools like `get_campaign_details` and `list_audience_segments`. The data streams directly into your components, creating a live view of your Emarsys account.
Vinkius handles the server-side auth, so you don't have to. All you need is your single Vinkius endpoint token. Pass this token in the header when you initialize `createMCPClient` in your Edge Function.
Absolutely. The Vercel AI SDK is designed for the App Router and Edge Functions. You can stream tool results from your server components directly into your client components for a real-time experience.
Yes. This server only provides read-only access to your Emarsys account metadata, like campaign names, segment definitions, and contact list settings. The Vercel AI SDK connects to the Vinkius-managed server, which runs in an isolated sandbox and never stores your data.

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