How to Use the LearnUpon MCP in Vercel AI SDK

Q: How does the Vercel AI SDK execute LearnUpon course searches without lagging?

It runs the searchcourses tool inside edge-compatible routes to query the LMS instantly. Because the tool results stream back to your React frontend, the user sees course lists populate progressively.

Q: How do I handle LearnUpon enrollment cancellations in Vercel AI SDK?

Your agent invokes the unenrolluser tool when a user requests a cancellation in the chat interface. The SDK immediately updates the UI state to confirm the learner has been removed from the class.

Q: How does the Vinkius MCP Server protect LearnUpon emails and enrollment records?

All data transmitted through tools like listusers and listenrollments runs in an isolated V8 sandbox. Vinkius never stores your learners' personal information or credentials; it simply acts as a secure, ephemeral proxy.

Build live-updating React dashboards that register and enroll learners on LearnUpon in real-time with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect LearnUpon MCP to Vercel AI SDK

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

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Live learner provisioning in React

Stop making your users stare at stale loading spinners while provisioning accounts. By hooking this MCP Server up to your frontend, your app streams the live progress of account creation directly into the UI. Your agent calls `create_user` to spin up the profile, then immediately follows up with `list_users` to confirm the database registered the change. The end user watches the step-by-step execution happen live on their screen. If you need to modify details on the fly, the agent triggers `update_user` and updates the React state instantly without a full page refresh.

Interactive course enrollment with Vercel AI SDK

Let your AI client run the enrollment loop inside your Edge Functions. The agent searches for the target class with `search_courses`, confirms seat availability, and calls `enroll_user_in_course` to lock in the learner. Since the Vercel AI SDK handles MCP tool calls natively, the UI displays the exact enrollment status as it processes. You do not have to write custom polling logic or manage complex state machines to keep the client browser in sync with the LMS database.

Instant enrollment audits and cleanups

Cleaning up your LMS data shouldn't require building manual admin panels. Your agent inspects current states using this MCP connection to call `list_enrollments` and lets users terminate access with `unenroll_user` through a simple chat interface. The UI updates dynamically as the backend confirms the removal. This prevents stale states and ensures your React components always reflect the exact, current state of your LMS.

Setup guide

Set up LearnUpon 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 LearnUpon 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 LearnUpon 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 LearnUpon. 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

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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 LearnUpon MCP in Vercel AI SDK

It runs the `search_courses` tool inside edge-compatible routes to query the LMS instantly. Because the tool results stream back to your React frontend, the user sees course lists populate progressively.

Yes, you can feed a list of emails to your agent and let it chain `create_user` calls. The SDK streams each successful account creation to the UI so you can watch the batch progress in real-time.

Your agent invokes the `unenroll_user` tool when a user requests a cancellation in the chat interface. The SDK immediately updates the UI state to confirm the learner has been removed from the class.

Yes, you can pass user-specific tokens through the SDK's authProvider to run tools like `update_user` securely. This ensures that agents can only modify accounts they have explicit permission to edit.

All data transmitted through tools like `list_users` and `list_enrollments` runs in an isolated V8 sandbox. Vinkius never stores your learners' personal information or credentials; it simply acts as a secure, ephemeral proxy.

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