How to Use the UKG Pro Learning MCP in Vercel AI SDK

Q: How do I search for UKG Pro Learning courses using Vercel AI SDK?

You call the courses tool, passing the required course ID. The data streams back to your client, allowing you to display that specific training information instantly in your application.

Q: Can I check UKG Pro Learning user details with Vercel AI SDK?

Yep. Your agent uses the users tool to fetch employee details. Because it's designed for streaming, you see the data appear in your UI as it gets processed.

Q: How do I list curricula for UKG Pro Learning with Vercel AI SDK?

The curricula tool lists available learning paths. Your agent retrieves this data and streams it directly into your front-end, perfect for displaying structured lists.

Q: Does the MCP Server support multiple UKG Pro Learning actions with Vercel AI SDK?

Absolutely. You can chain calls across tools like users followed by enrollments. The streaming nature means you handle complex, multi-step data retrieval smoothly.

See UKG Pro Learning results appear in your React UI, streamed live by Vercel AI SDK.

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Connect UKG Pro Learning MCP to Vercel AI SDK

Create your Vinkius account to connect UKG Pro Learning 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 UKG Pro Learning with Vercel AI SDK

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Check User Details Live

Use the `users` tool to get specific details for an employee. Your agent streams this data right into the UI as it loads, skipping that annoying loading spinner. It's perfect for building user-facing dashboards where the end user needs to see information appear in real time, not all at once.

Fetch Available Courses

Need a specific training course? Just call `courses` with an ID. The result streams immediately to your component, letting you handle the data flow cleanly on the frontend. This mechanism means you don't have to wait for a full API response cycle; the data appears instantly in the user view.

List User Enrollments

The `enrollments` tool lets your AI client list all learning paths for a given employee. This result shows up live, so you can build immediate feedback loops right into your application's UI. You get the data stream directly, which is ideal when performance and real-time responsiveness are key requirements for your product.

Setup guide

Set up UKG Pro Learning 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 UKG Pro Learning 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 UKG Pro Learning 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 UKG Pro Learning. 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

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Common questions about UKG Pro Learning MCP in Vercel AI SDK

You call the `courses` tool, passing the required course ID. The data streams back to your client, allowing you to display that specific training information instantly in your application.

Yep. Your agent uses the `users` tool to fetch employee details. Because it's designed for streaming, you see the data appear in your UI as it gets processed.

This MCP Server touches user details and enrollment records. Specifically, it handles fetching information about employee profiles and their current learning status.

The `curricula` tool lists available learning paths. Your agent retrieves this data and streams it directly into your front-end, perfect for displaying structured lists.

Absolutely. You can chain calls across tools like `users` followed by `enrollments`. The streaming nature means you handle complex, multi-step data retrieval smoothly.

Use it with your favorite AI tools

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