What data can be accessed via the UKG Pro MCP Server?

You can access employee profiles, compensation details, job history, payroll information, user details, and organizational structures.

What authentication methods are supported?

The server supports API Keys/Service Account Basic Authentication and OAuth2 depending on your UKG Pro environment endpoints.

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

Name: UKG Pro
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect UKG Pro through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to UKG Pro "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in UKG Pro?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every UKG Pro tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

The UKG Pro MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from UKG Pro with type-safe schemas

Why Use Pydantic AI with the UKG Pro MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your UKG Pro integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your UKG Pro connection logic from agent behavior for testable, maintainable code

UKG Pro + Pydantic AI Use Cases

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

Type-safe data pipelines: query UKG Pro with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple UKG Pro tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query UKG Pro and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock UKG Pro responses and write comprehensive agent tests

UKG Pro MCP Tools for Pydantic AI (8)

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

employees.compensation

Get compensation details for a specific employee

employees.get

Get a specific employee by ID in UKG Pro

employees.list

List all employees in UKG Pro

jobs.get

Get a specific job configuration by job code

jobs.list

List job configurations in UKG Pro

organizations

List organizational components and structures

payroll.by_employee

Get payroll records for a specific employee

payroll.list

Get payroll records for the current pay period

Example Prompts for UKG Pro in Pydantic AI

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

"List the contact details for employee ID 12345."

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

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

Troubleshooting UKG Pro MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

UKG Pro + Pydantic AI FAQ

Common questions about integrating UKG Pro MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your UKG Pro MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.