How to Use the Zenedu MCP in Vercel AI SDK

Q: How does Zenedu help with real-time subscription data using Vercel AI SDK?

You call listbotsubscribers via your agent. The result streams immediately into your React component, meaning the user sees new subscribers appear on the dashboard without waiting for a full API response.

Q: What if I need to see all bots and their associated products using Zenedu with Vercel AI SDK?

First, call listbots to get the bot IDs. Then, use those IDs to query listbotproducts. Because both tools support streaming, you'll see the entire data set flow into your UI sequentially.

Q: Can I track orders using Zenedu with Vercel AI SDK?

Yep. You use the listbotorders tool. The returned order data streams directly, allowing you to build a live transaction feed in your application that updates as soon as an order is placed.

Q: Is Zenedu good for listing funnels with Vercel AI SDK?

Absolutely. listbotfunnels pulls the funnel structure, and since the data streams directly into your client UI, you can build an interactive visual map of the user journey.

Q: What specific type of data does Zenedu touch when managing bots with Vercel AI SDK?

Zenedu touches core operational data like bot names (listbots), subscriber contact information, and transaction records stored in listbotorders.

Real-time Bot Operations Streaming into Your Next.js UI with Vercel AI SDK.

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…and any MCP-compatible client

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Connect Zenedu MCP to Vercel AI SDK

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

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Fetch and Stream All Available Bots

Need to list out all your existing bots? Call `list_bots` and get a full roster of them immediately. The result streams right into the UI, so users see the bot names appear live—no spinning loader required. This immediate data flow works for everything. Use it to show initial state information before the user even interacts with the main chat window.

Track Bot User Subscriptions Live

You can pull subscriber details using `list_bot_subscribers`. This lets your UI build out a quick dashboard showing who signed up and when. The data streams, giving you real-time visibility into user growth. It's perfect for building admin panels where users need to see changes happen instantly without refreshing the page.

View Bot Products and Funnels in Real Time

Showcasing product catalogs? Grab all associated products using `list_bot_products`. This data streams directly into your frontend, letting you build out a live, dynamic storefront. You can also map out the bot's journey by calling `list_bot_funnels`, visualizing the path users take as the data appears instantly in React.

Setup guide

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

You call `list_bot_subscribers` via your agent. The result streams immediately into your React component, meaning the user sees new subscribers appear on the dashboard without waiting for a full API response.

First, call `list_bots` to get the bot IDs. Then, use those IDs to query `list_bot_products`. Because both tools support streaming, you'll see the entire data set flow into your UI sequentially.

Yep. You use the `list_bot_orders` tool. The returned order data streams directly, allowing you to build a live transaction feed in your application that updates as soon as an order is placed.

Absolutely. `list_bot_funnels` pulls the funnel structure, and since the data streams directly into your client UI, you can build an interactive visual map of the user journey.

Zenedu touches core operational data like bot names (`list_bots`), subscriber contact information, and transaction records stored in `list_bot_orders`.

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