How to Use the LearningSuite MCP in Vercel AI SDK

Q: How do I stream LearningSuite course lists using Vercel AI SDK?

Call the listcourses tool inside your streamText function. The Vercel AI SDK handles the connection to the MCP Server and streams the raw JSON data directly to your frontend components.

Q: Can I filter members in Vercel AI SDK before rendering?

Yes, you instruct your agent to call listmembers and filter the array based on your criteria. The filtered results then stream straight to your React or Next.js frontend.

Q: What is the setup process for LearningSuite in Vercel AI SDK?

Install @ai-sdk/mcp and ai via npm. Create your MCP client pointing to the Vinkius endpoint, then pass the tools array into your generation functions.

Stream LearningSuite course and member data directly into your Next.js UI using the Vercel AI SDK.

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Connect LearningSuite MCP to Vercel AI SDK

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

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Build real-time training views with this MCP Server

This setup feeds raw data from `list_members` and `get_member` straight into your active UI components to avoid heavy page reloads. Your application renders the incoming JSON chunks on the fly as they stream from the server. You write clean React code without managing complex loading states or spinners. The client handles the incoming stream, letting you map out active student profiles and progress metrics instantly.

Let users query catalogs in plain English

Your agent uses `list_courses` and `get_course` to pull relevant curriculum details directly when users ask what classes they need next. It parses the requirements and presents them in a clean, readable format. Because this runs on Edge Functions, latency stays low. You get fast responses that drop directly into the chat interface, showing the exact training paths your team needs right now.

Surface forum activity instantly

Keep your team updated on internal discussions by fetching active threads via `list_community_posts` directly inside your portal. The agent grabs the latest updates and presents them to the user. This keeps your learning hub active without forcing users to open another tab. They get the latest training discussions right inside your custom portal.

Setup guide

Set up LearningSuite 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 LearningSuite 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 LearningSuite transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LearningSuite. 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 LearningSuite MCP in Vercel AI SDK

Call the `list_courses` tool inside your `streamText` function. The Vercel AI SDK handles the connection to the MCP Server and streams the raw JSON data directly to your frontend components.

Yes, you instruct your agent to call `list_members` and filter the array based on your criteria. The filtered results then stream straight to your React or Next.js frontend.

The server runs in a zero-trust sandbox, making it compatible with Edge runtimes. You initialize the client using standard HTTP transport and pass the tools directly into the SDK.

Install `@ai-sdk/mcp` and `ai` via npm. Create your MCP client pointing to the Vinkius endpoint, then pass the tools array into your generation functions.

Your training records, member progress, and community posts pass through an ephemeral V8 sandbox. No data is stored on Vinkius servers, ensuring complete isolation for your corporate training records.

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