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UKG Pro MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect UKG Pro through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using UKG Pro, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
UKG Pro
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UKG Pro MCP Server

The UKG Pro MCP Server integrates the Model Context Protocol with the UKG Pro human capital management suite, enabling AI agents to manage HR data, employee profiles, payroll details, and organizational structures seamlessly.

The Vercel AI SDK gives every UKG Pro tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The UKG Pro MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect UKG Pro to Vercel AI SDK via MCP

Follow these steps to integrate the UKG Pro MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from UKG Pro and passes them to the LLM

Why Use Vercel AI SDK with the UKG Pro MCP Server

Vercel AI SDK provides unique advantages when paired with UKG Pro through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same UKG Pro integration everywhere

03

Built-in streaming UI primitives let you display UKG Pro tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

UKG Pro + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the UKG Pro MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query UKG Pro in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate UKG Pro tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed UKG Pro capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with UKG Pro through natural language queries

UKG Pro MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect UKG Pro to Vercel AI SDK via MCP:

01

employees.compensation

Get compensation details for a specific employee

02

employees.get

Get a specific employee by ID in UKG Pro

03

employees.list

List all employees in UKG Pro

04

jobs.get

Get a specific job configuration by job code

05

jobs.list

List job configurations in UKG Pro

06

organizations

List organizational components and structures

07

payroll.by_employee

Get payroll records for a specific employee

08

payroll.list

Get payroll records for the current pay period

Example Prompts for UKG Pro in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UKG Pro immediately.

01

"List the contact details for employee ID 12345."

02

"Show the current organizational reporting structure for the 'Marketing' division."

03

"Verify the payroll status for the latest bi-weekly run."

Troubleshooting UKG Pro MCP Server with Vercel AI SDK

Common issues when connecting UKG Pro to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

UKG Pro + Vercel AI SDK FAQ

Common questions about integrating UKG Pro MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect UKG Pro to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.