How to Use the UKG Pro Learning MCP in Mastra AI

Q: How do I list curricula for UKG Pro Learning using Mastra AI?

You set up a workflow that calls the curricula tool. Because Mastra handles retries, if the initial connection fails, it will automatically retry until you get a complete list of learning paths.

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

Yes, you use users in your workflow. If getting the employee details is mission-critical, Mastra ensures that if the first attempt fails, it retries until the data is successfully retrieved.

Q: How do I get a course by ID for UKG Pro Learning using Mastra AI?

You define the courses tool call within your workflow. The Mastra framework manages any temporary network failures or service interruptions, ensuring you successfully fetch that specific training course.

Build resilient UKG Pro Learning operations with guaranteed retries using Mastra AI.

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Connect UKG Pro Learning MCP to Mastra AI

Create your Vinkius account to connect UKG Pro Learning to Mastra AI 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 Mastra AI

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Perplexity

Handle Complex Workflows

Mastra AI lets your agent build complex, multi-step processes. You can define conditional logic—for example, if checking `enrollments` fails, the workflow automatically retries using a different method. This built-in reliability means your operations don't fail on minor hiccups; they handle errors gracefully and keep running until successful.

Fetch Specific Courses Reliably

Need to get a course by ID? Use `courses` within a Mastra workflow. If the initial call fails, the system automatically backs off and tries again, ensuring you eventually retrieve that training path. It's built for mission-critical tasks where data retrieval must succeed, no matter what.

Manage User Data Safely

You can define a workflow to first get user details using `users`, then check their current paths with `curricula`. Mastra handles the sequencing and failure points between these two critical steps. This guarantees that your data flow is robust, giving you high confidence in the final outcome of your agent's operation.

Setup guide

Set up UKG Pro Learning MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All UKG Pro Learning tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ukg-pro-learning-mcp-client",
  servers: {
    "ukg-pro-learning-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "UKG Pro Learning Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to UKG Pro Learning tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent UKG Pro Learning transactions"
);
console.log(result.text);

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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 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.

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Common questions about UKG Pro Learning MCP in Mastra AI

You set up a workflow that calls the `curricula` tool. Because Mastra handles retries, if the initial connection fails, it will automatically retry until you get a complete list of learning paths.

Yes, you use `users` in your workflow. If getting the employee details is mission-critical, Mastra ensures that if the first attempt fails, it retries until the data is successfully retrieved.

This MCP Server interacts with user details and enrollment records. The workflow can manage fetching employee profiles (`users`) and their specific learning paths (`enrollments`).

You define the `courses` tool call within your workflow. The Mastra framework manages any temporary network failures or service interruptions, ensuring you successfully fetch that specific training course.

It does. You can build a multi-step process—for instance, first checking `users` then listing `curricula`. The framework guarantees that even if one step fails, the whole workflow doesn't just quit.

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