How to Use the iZooto MCP in Vercel AI SDK

Q: Can AI SDK apps track iZooto notification stats?

Yes, you call getstats to pull performance data. Your app then renders these metrics in real-time for the user.

Q: Does iZooto integrate with AI SDK for segment creation?

You can use createsegment within your agent logic. This lets your app build segments based on user activity as it occurs.

Q: How do I verify if iZooto is running in AI SDK?

Run checkizootostatus through your client. It returns the current connection state to your server.

Use the iZooto MCP Server to push real-time notifications directly from your AI SDK app to your users' browsers.

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…and any MCP-compatible client

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Connect iZooto MCP to Vercel AI SDK

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

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Targeted push notifications via AI SDK

Trigger browser notifications based on live user behavior. Your application uses `send_segment_push` to reach specific visitor groups without manual intervention. This MCP Server lets your frontend react to state changes. You'll see notification delivery events stream straight into your UI components.

Live performance tracking with AI SDK

Fetch engagement metrics as they happen. You can query `get_stats` to display click-through rates directly in your dashboard. Stop guessing if your messages work. This MCP Server feeds raw analytics into your data pipelines for immediate visualization.

Manage audience segments in AI SDK

Automate how you organize your user base. Use `create_segment` to build dynamic groups based on incoming application data. Your code keeps segments clean by calling `list_segments` to verify active audiences. This ensures your notifications remain relevant to the user.

Setup guide

Set up iZooto 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 iZooto 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 iZooto 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 iZooto. 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.

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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 iZooto MCP in Vercel AI SDK

You connect by initializing the MCP client with your endpoint URL. Once set up, pass the tools to your streamText function to execute commands.

Yes, you call `get_stats` to pull performance data. Your app then renders these metrics in real-time for the user.

You can use `create_segment` within your agent logic. This lets your app build segments based on user activity as it occurs.

Run `check_izooto_status` through your client. It returns the current connection state to your server.

The server only handles notification delivery metadata and audience segments. No sensitive user PII is stored by the MCP process.

Use it with your favorite AI tools

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

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