How to Use the Listrak MCP in Vercel AI SDK

Q: Can I stream contact details from Listrak to Vercel AI SDK?

Yes, you can fetch details using getemailcontactdetails and stream the JSON keys directly to your UI. The Vercel AI SDK handles the incoming stream, letting you render contact fields as they arrive from the Listrak servers.

Q: Can I manage SMS lists using Vercel AI SDK?

Yes, your agent can call subscribetosmslist to add users to specific mobile marketing groups. The Vercel AI SDK processes this tool call during the chat loop, updating the user's subscription status in real-time.

Q: How does the Vercel AI SDK secure Listrak contact emails and phone numbers?

All contact emails and phone numbers processed by getemailcontactdetails or createsmscontact transit through an ephemeral, zero-trust V8 isolate. Vinkius does not write this sensitive subscriber data to disk, keeping your Listrak records isolated from persistent logs.

Stream Listrak email campaigns and live SMS subscription states directly into your React components using the Vercel AI SDK.

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Connect Listrak MCP to Vercel AI SDK

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

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Stream live Listrak campaign data with Vercel AI SDK

The `list_email_campaigns` tool pulls active marketing efforts directly into your application's edge runtime via our MCP Server. Your AI client retrieves the campaign list and pipes the raw payload straight into the Vercel AI SDK stream, bypassing slow mid-tier databases. This means your users see campaign performance metrics render chunk-by-chunk on their dashboard. You avoid loading spinners because the UI updates dynamically as the Listrak API responds.

Register SMS contacts instantly from the edge

The `create_sms_contact` tool handles mobile subscriber registration directly through your Next.js edge functions. By combining this tool with the Vercel AI SDK, your chat interface can collect phone numbers and write them to Listrak without server-side lag. Your React interface reflects the Listrak SMS registration status immediately. If a user inputs a number, the Vercel AI SDK agent triggers `subscribe_to_sms_list` to update the React component state in real-time.

Send transactional emails during live chat sessions

The `send_transactional_email` tool triggers critical system emails from your Vercel AI SDK streaming interface when user actions occur. Your agent executes this action mid-stream, sending purchase confirmations via the Listrak server instantly. Customers do not have to wait for page reloads to know their Listrak transactional email is on the way. The Vercel AI SDK outputs a confirmation message in the chat window the millisecond the Listrak API returns a success code.

Setup guide

Set up Listrak 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 Listrak 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 Listrak 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 Listrak. 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 Listrak MCP in Vercel AI SDK

Pass your Vinkius endpoint token into createMCPClient using the HTTP transport type. This single token handles all authentication, allowing your Vercel AI SDK agents to call tools like list_sms_contacts without managing separate Listrak API keys.

Yes, you can fetch details using get_email_contact_details and stream the JSON keys directly to your UI. The Vercel AI SDK handles the incoming stream, letting you render contact fields as they arrive from the Listrak servers.

The SDK relies on the underlying Vinkius MCP Server infrastructure to handle connection pooling. If your agents execute high-volume actions like send_sms_broadcast, you should implement standard backoff logic in your edge route to handle HTTP 429 responses.

Yes, your agent can call subscribe_to_sms_list to add users to specific mobile marketing groups. The Vercel AI SDK processes this tool call during the chat loop, updating the user's subscription status in real-time.

All contact emails and phone numbers processed by get_email_contact_details or create_sms_contact transit through an ephemeral, zero-trust V8 isolate. Vinkius does not write this sensitive subscriber data to disk, keeping your Listrak records isolated from persistent logs.

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