How to Use the Udemy MCP in Vercel AI SDK

Q: How do I check public Udemy reviews using Vercel AI SDK?

You call coursereviews and pass the desired course ID. The results stream directly into your frontend component, allowing you to display user feedback in real time without delay.

Q: Can I use Udemy data for my application with Vercel AI SDK?

Absolutely. You can access instructor reviews (instructorreviews) or messages (instructormessages). The streaming nature of the Vercel AI SDK makes handling large amounts of data incredibly smooth.

Q: What if I need to pull course details for Udemy using Vercel AI SDK?

Just use the courses tool and provide the specific ID. Since your client supports streaming, you'll get the necessary metadata fast enough to populate your UI immediately.

Q: Does this MCP Server support Udemy data for advanced workflows with Vercel AI SDK?

Yes. You can manage instructor QA questions (instructorqa) and list all courses taught by an instructor using instructorcourses. The streaming format handles these multiple calls efficiently.

Stream real-time Udemy data into your frontend using Vercel AI SDK.

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Connect Udemy MCP to Vercel AI SDK

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

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Fetch Public Course Reviews for Your App

Need public feedback? Call `course_reviews` with a course ID, and the reviews stream right into the user interface. It’s perfect for showing live social proof while your agent client is working. This keeps users hooked. They don't hit a loading spinner; they see the data appearing in real time as it streams out of the Next.js component.

Analyze Instructor Feedback Streams

Use `instructor_reviews` to pull aggregated feedback for all courses taught by an instructor. This lets your client process and display large datasets of reviews instantly. When you run this through the Vercel AI SDK, you get a continuous stream. You can build out complex widgets that update live as the agent processes thousands of data points.

Get Specific Udemy Course Details

You only need details on one course? Run `courses` with the specific ID to pull core metadata about a Udemy offering. This is fast and reliable for initial UI rendering. Since this tool result streams, you can render parts of your page—like the course title or category—before the full data payload even finishes transmitting.

Setup guide

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

You call `course_reviews` and pass the desired course ID. The results stream directly into your frontend component, allowing you to display user feedback in real time without delay.

Absolutely. You can access instructor reviews (`instructor_reviews`) or messages (`instructor_messages`). The streaming nature of the Vercel AI SDK makes handling large amounts of data incredibly smooth.

Just use the `courses` tool and provide the specific ID. Since your client supports streaming, you'll get the necessary metadata fast enough to populate your UI immediately.

Yes. You can manage instructor QA questions (`instructor_qa`) and list all courses taught by an instructor using `instructor_courses`. The streaming format handles these multiple calls efficiently.

The server exposes various types, including course IDs for reviews and the full text content of direct messages or QA questions. Your agent client handles these plain strings efficiently.

Use it with your favorite AI tools

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