How to Use the Iterable MCP in Vercel AI SDK

Q: Can Iterable campaign metrics be displayed in Vercel AI SDK?

Yes, just map getcampaignmetrics to your tool definitions. The result streams right into your React or Next.js component without extra backend routing.

Pull Iterable campaign data directly into your Vercel AI SDK frontends for real-time, interactive marketing dashboards.

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Connect Iterable MCP to Vercel AI SDK

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

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Live subscriber intelligence in Vercel AI SDK

Feed your UI with live subscriber data by calling `get_user` during your streaming response. Your Vercel AI SDK application renders customer profiles instantly, removing the need for clunky loading states. This approach lets your users view specific engagement history as the AI generates its response. You get a live data pipeline between your marketing account and your frontend.

Real-time campaign tracking for AI interfaces

Monitor performance metrics on the fly using `get_campaign_metrics` within your streaming handlers. Your Vercel AI SDK app displays ROI and engagement data exactly when the user asks for it. Stop relying on static reports that go stale the second you pull them. This MCP Server updates your interface with the latest campaign numbers as they happen.

Dynamic content auditing in React components

Audit your messaging assets by using `list_templates` and `list_message_types` inside your Vercel AI SDK workflows. Your app can now suggest specific templates based on the current context of the conversation. It handles the heavy lifting of indexing your assets so your frontend remains clean and responsive. You keep the logic in the server while the UI stays focused on showing what matters.

Setup guide

Set up Iterable 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 Iterable 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 Iterable transactions",
});

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

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Common questions about Iterable MCP in Vercel AI SDK

You initialize the client via the MCP transport and pass the tools directly into your streamText call. It handles the connection to the server so your frontend can invoke the API methods directly.

Yes, just map `get_campaign_metrics` to your tool definitions. The result streams right into your React or Next.js component without extra backend routing.

The server uses a single endpoint token to manage authentication. It only touches user email addresses and campaign metadata, keeping your sensitive marketing data isolated.

It passes through API responses directly. If a request fails, your AI client receives the specific error code to handle or display accordingly.

This server processes subscriber email addresses and campaign performance logs. It operates in an ephemeral sandbox environment, ensuring no persistent state remains after your session closes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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