How to Use the 360Learning MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream 360Learning course details?

Yes. When your agent calls getcourse, the technical details and lesson overviews stream directly to the frontend. Your Next.js app renders the text chunk by chunk.

Build real-time learning dashboards by streaming 360Learning data directly into React using the Vercel AI SDK MCP integration.

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…and any MCP-compatible client

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Connect 360Learning MCP to Vercel AI SDK

Create your Vinkius account to connect 360Learning 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 360Learning with Vercel AI SDK

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Claude

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Stream 360Learning MCP Server Data Live

Your users hate loading spinners when checking training statistics. When they want to see their progress, they expect answers immediately. Building with this Vercel AI SDK integration means you pipe completion rates straight into your Next.js frontend as the data arrives. Call `get_stats` to pull assessment scores for specific cohorts. The results stream directly into your UI components without blocking the main thread. You get a snappy dashboard that feels instantly responsive.

Render Course Catalogs on the Edge

Edge functions need fast, lightweight access to course catalogs. You can pull the entire training library without setting up heavy backend infrastructure. The MCP standard handles the connection routing for you behind the scenes. Run `list_courses` followed by `get_course` to display lesson overviews dynamically. Your React app renders the course details right as the LLM processes them. End users see the syllabus build itself on screen.

Build Interactive Enrollment Forms

Static registration forms drop conversion rates for new user creation. Replace them with conversational interfaces that guide new hires through the onboarding process. The AI collects the necessary details naturally through chat. Once the agent gathers the email and name, it fires `create_user` to register the learner. You then map `list_groups` to assign them to the right department cohort instantly. The whole onboarding flow happens inside a single chat window.

Setup guide

Set up 360Learning 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 360Learning 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 360Learning 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 360Learning. 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

Live

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 360Learning MCP in Vercel AI SDK

Install the @ai-sdk/mcp package via npm. Then initialize the client with createMCPClient and pass the returned tools to streamText.

Yes. When your agent calls get_course, the technical details and lesson overviews stream directly to the frontend. Your Next.js app renders the text chunk by chunk.

The SDK catches the tool execution error and returns it in the stream payload. You handle the failure state in your React component to show a fallback UI.

Vinkius hosts the server infrastructure for you. You just need an endpoint token to connect your frontend application directly to the managed instance.

We run the connection in a V8 Isolate Sandbox that destroys itself after execution. Assessment scores and user emails never touch persistent storage. The transport layer relies on single-use endpoint tokens for authentication.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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