How to Use the Learn Amp MCP in Vercel AI SDK

Build real-time learning dashboards using the Learn Amp MCP Server and Vercel AI SDK to stream employee progress directly into your UI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Learn Amp MCP to Vercel AI SDK

Create your Vinkius account to connect Learn Amp 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 Learn Amp with Vercel AI SDK

Ask AI about this MCP

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Claude

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Stream learning data into your React components

Stop waiting for loading spinners. Use `list_items` and `list_learnlists` to fetch development pathways and inject them straight into your application state. Your AI client handles the heavy lifting, pushing live course data to your frontend as it arrives. It's the fastest way to build responsive development trackers.

Manage users directly from your edge functions

Perform user lifecycle tasks like `create_user` or `update_user` without leaving your codebase. The MCP Server executes these operations securely within your Vercel deployment. Handle account changes on the fly. You get immediate feedback on every request, keeping your user database in sync with your application logic.

Track completion milestones in real-time

Update employee status instantly using `complete_item` as soon as a user finishes a lesson. This ensures your analytics remain accurate at every step. Your AI client processes these completions asynchronously, allowing your users to see their progress bars update without a page refresh.

Setup guide

Set up Learn Amp 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 Learn Amp 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 Learn Amp 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 Learn Amp. 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 Learn Amp MCP in Vercel AI SDK

You install the @ai-sdk/mcp package and initialize a client pointing to your server endpoint. Once connected, your AI client can call tools like `get_user` to pull data into your app.

Yes, the server is built to run on edge infrastructure. Just provide the endpoint URL and your authentication token to start making calls to `list_users`.

It treats them as standard JSON objects returned by tool calls. You can map these directly to your UI components once the AI client resolves the `get_learnlist` response.

The current toolset focuses on individual record manipulation. You can chain calls to `update_user` or `complete_item` inside your application loops to handle multiple updates.

All requests are authenticated via your specific endpoint token. The server handles sensitive user records by ensuring only authorized calls to `get_user` proceed, keeping personal development history private.

Use it with your favorite AI tools

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

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