How to Use the Unbounce MCP in Vercel AI SDK

Q: How do I search for Unbounce pages using Vercel AI SDK?

You call the pages tool. The Vercel AI SDK handles the connection, and you get a stream of all available landing page data pushed directly to your component. It keeps your UI snappy.

Q: Can I see live lead submissions in Unbounce with Vercel AI SDK?

Yes, use leads. Because this MCP Server result streams via the Vercel AI SDK, you'll see newly captured leads appear on your screen immediately. No more waiting for a batch update.

Q: What data can Unbounce provide to my app using Vercel AI SDK?

Your agent can access pages, leads, and subaccounts data from Unbounce. This means you can build tools that display live account structure, page lists, or real-time lead submissions.

Q: What type of data does this MCP Server touch for Unbounce?

This server touches pages, leads, and subaccounts data types, allowing you to manage assets and view submissions live.

Stream live Unbounce data into your UI with Vercel AI SDK.

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Connect Unbounce MCP to Vercel AI SDK

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

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Real-Time Page Listing

The `pages` tool lists every Unbounce landing page. Your agent streams this data directly into the React component as soon as it arrives—no spinning loading screen needed. This lets you display a full catalog of pages in your user interface while the AI client is running.

Fetch Submitted Leads

Need to check recent submissions? Call `leads` to pull all lead data for a specific Unbounce landing page. This result streams into your front end, letting users see new signups appear instantly. It's perfect for building dashboards that need live updates without complex polling logic.

Check Account Structure

Use `sub_accounts` to list all sub-accounts available under your main Unbounce profile. The data flows through the Vercel AI SDK, letting you build setup wizards that display account options live. This immediate feedback loop is great for developer tools where the user needs instant validation.

Setup guide

Set up Unbounce 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 Unbounce 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 Unbounce transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unbounce. 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 Unbounce MCP in Vercel AI SDK

You call the `pages` tool. The Vercel AI SDK handles the connection, and you get a stream of all available landing page data pushed directly to your component. It keeps your UI snappy.

Yes, use `leads`. Because this MCP Server result streams via the Vercel AI SDK, you'll see newly captured leads appear on your screen immediately. No more waiting for a batch update.

Your agent can access `pages`, `leads`, and `sub_accounts` data from Unbounce. This means you can build tools that display live account structure, page lists, or real-time lead submissions.

The result streams directly into your UI. You don't deal with loading spinners; you just see the Unbounce data appear in real time as your agent processes it.

This server touches `pages`, `leads`, and `sub_accounts` data types, allowing you to manage assets and view submissions live.

Use it with your favorite AI tools

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

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