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How to Use the UKG Pro Workforce Management MCP in Mastra AI

Build multi-step UKG Pro Workforce Management workflows using Mastra AI.

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Connect UKG Pro Workforce Management MCP to Mastra AI

Create your Vinkius account to connect UKG Pro Workforce Management 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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Check accrued leave balances across steps.

The `accruals` tool lists current employee accrual balances (PTO, sick leave). You can build a workflow that first checks these balances, then maybe sends an alert if they're low. If the initial check fails for some reason—say, the API is down—the system automatically retries with exponential backoff until it succeeds.

Get and manage employee schedules in sequence.

Use `schedules` to pull all active work patterns. A workflow could check if an upcoming shift conflicts with approved time off, running these tools sequentially for complex checks. This lets you build robust logic that handles failures gracefully across multiple data points.

Process and verify timesheet history.

The `timesheets` tool lists hours worked by employees. You can set up a workflow that pulls all timesheets, validates them against the employee's schedule, and then flags discrepancies. If a discrepancy is found (the payment fails), you can automatically branch to notify an admin.

Setup guide

Set up UKG Pro Workforce Management 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All UKG Pro Workforce Management tools become native Mastra tools.

  4. 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-workforce-management-mcp-client",
  servers: {
    "ukg-pro-workforce-management-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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 Workforce Management. 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 Workforce Management MCP in Mastra AI

You define a step in your workflow that calls the `accruals` tool. This allows you to build complex logic around checking and acting on PTO or sick leave data.
Yes, use the `timeoff` tool within your workflow. You can create conditional branching: if a request is pending, notify manager A; otherwise, proceed to step B.
It does. Use the `schedules` tool in your workflow engine. You can build multi-step processes that compare schedules against other data sources, handling failures along the way.
The server gives access to `schedules`, `timesheets`, `timeoff` requests, and current `accruals`. Your workflow can interact with all four.
Call the `timesheets` tool. You can wrap this call in a retry mechanism, ensuring your workflow keeps running even if the initial connection fails.

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