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Udemy MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Udemy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Udemy, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Udemy MCP Server

The Udemy MCP Server brings the world's largest selection of courses into your AI workflows. It allows you to search the public catalog, as well as seamlessly retrieve instructor-specific data like QA interactions, direct messages, and course reviews for deep analysis.

The Vercel AI SDK gives every Udemy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Udemy MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Udemy to Vercel AI SDK via MCP

Follow these steps to integrate the Udemy MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 7 tools from Udemy and passes them to the LLM

Why Use Vercel AI SDK with the Udemy MCP Server

Vercel AI SDK provides unique advantages when paired with Udemy through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Udemy integration everywhere

03

Built-in streaming UI primitives let you display Udemy tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Udemy + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Udemy MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Udemy in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Udemy tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Udemy capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Udemy through natural language queries

Udemy MCP Tools for Vercel AI SDK (7)

These 7 tools become available when you connect Udemy to Vercel AI SDK via MCP:

01

course_reviews

Provide course ID. List reviews for a specific public Udemy course

02

courses.get

Get details of a specific Udemy course by ID

03

courses.list

Pass a search term or category. Maximum 100 per page. List public Udemy courses. You can search by keyword, category, etc

04

instructor_courses

List all courses taught by the authenticated instructor

05

instructor_messages

List direct messages for the authenticated instructor

06

instructor_qa

List QA questions in all courses taught by the authenticated instructor

07

instructor_reviews

Useful for feedback analysis. List reviews for all courses taught by the authenticated instructor

Example Prompts for Udemy in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Udemy immediately.

01

"Find top rated courses about 'React' on Udemy."

02

"Check all my unread direct messages from students on Udemy."

03

"Summarize the latest reviews left on my instructor courses."

Troubleshooting Udemy MCP Server with Vercel AI SDK

Common issues when connecting Udemy to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Udemy + Vercel AI SDK FAQ

Common questions about integrating Udemy MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Udemy to Vercel AI SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.