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How to Use the Klaviyo MCP in Vercel AI SDK

Build real-time marketing dashboards that stream Klaviyo customer profiles and event metrics directly into your Vercel AI SDK frontend.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Klaviyo MCP to Vercel AI SDK

Create your Vinkius account to connect Klaviyo 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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Stream customer events to Vercel AI SDK instantly

The `track_event` tool records live customer interactions directly from your edge-rendered interface. When a user clicks a button, your Vercel AI SDK interface captures the action and updates the UI state without waiting for a backend response cycle. You get instant verification of event delivery. Your users see their updated activity feed immediately, removing the lag associated with traditional marketing tracking setups.

Render live Klaviyo segments in your Vercel AI SDK app

The `list_segments` tool fetches dynamic customer cohorts to feed your real-time React or Next.js components. This MCP Server lets your agent pull fresh audience definitions and render them in a streaming UI as the data arrives. Instead of staring at loading spinners, your marketing team sees segment sizes and member counts compile line-by-line. You can combine this with `list_profiles` to display individual profile details on the fly.

Inspect and preview email templates on the edge

The `list_email_templates` tool retrieves your saved newsletter layouts directly into your Vercel AI SDK streaming chat interface. Your marketing agent can pull these templates, swap variables, and show live previews to your content team. This MCP setup keeps your design review process fast, running entirely within your edge-rendered application. Coupling this with `list_campaigns` allows your team to inspect previous layout performance metrics side-by-side.

Setup guide

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

The server outputs tool results that Vercel AI SDK streams directly into your UI components. Your agent executes `list_profiles` or `track_event`, and the JSON payloads render live on the screen without blocking the main browser thread.
Yes, you can. Your agent uses `list_automated_flows` to identify active marketing sequences and then triggers them by dispatching custom events with `track_event`.
Yes, it runs on lightweight V8 isolates. The MCP client connects over secure HTTP or SSE transport, ensuring your serverless functions remain fast and cold starts stay under 10 milliseconds.
Use the `list_metrics` tool to retrieve raw engagement data. Your agent can then parse these metrics to feed live charting libraries inside your Next.js dashboard.
All customer profiles accessed via `get_profile` are processed in an ephemeral V8 sandbox. No marketing data is cached or stored on Vinkius servers, ensuring complete compliance with your existing privacy policies.

Start using the Klaviyo MCP today

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