How to Use the UKG Pro MCP in Google ADK

Q: How does UKG Pro integrate with Google ADK?

The MCP Server exposes four tools: employees, jobs, organizations, and payroll. Your agent framework connects these functions, allowing your Gemini model to act on live HR data inside the BigQuery ecosystem.

Q: What happens if I need job configuration details using UKG Pro and Google ADK?

You call the jobs tool with a specific code. The MCP Server returns the exact job configuration, which your agent can then use as a fixed reference point for other data processing tasks.

Q: Can I run payroll analysis using UKG Pro and Google ADK?

Yes. By invoking payroll, you pull the current pay period records directly into the flow, where your agent can perform deep, long-context analysis against other related data sets.

Q: Does this MCP Server support complex organizational querying with UKG Pro and Google ADK?

Absolutely. The organizations tool lists all component structures in UKG Pro. Your agent can use that full map to guide its subsequent data retrieval actions.

Run structured queries on HR data using UKG Pro with the Google ADK.

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Connect UKG Pro MCP to Google ADK

Create your Vinkius account to connect UKG Pro to Google ADK 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 with Google ADK

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Get specific employee details.

The `employees` tool retrieves a single worker's profile directly from UKG Pro. This allows your agent to pinpoint exact records needed for deeper analysis within the BigQuery environment. Pairing this with other data sources lets you build complex reports that start with a simple employee lookup.

List organization components.

You can run `organizations` to map out the entire component structure of your company in UKG Pro. This list helps frame how different departments or units report up. This tool is useful for giving context to payroll queries, ensuring you're looking at records from the correct corporate unit.

Access current pay period records.

The `payroll` function pulls all necessary payroll data for the active cycle. Your agent can then reason over this large set of financial records using Gemini models. Since the Google ADK supports long-context reasoning, you can analyze these payroll results and cross-reference them against job codes or employee IDs.

Setup guide

Set up UKG Pro MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with UKG Pro tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="UKG Pro_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UKG Pro tools via MCP.",
    tools=mcp_tools,
)

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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. 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 MCP in Google ADK

The MCP Server exposes four tools: `employees`, `jobs`, `organizations`, and `payroll`. Your agent framework connects these functions, allowing your Gemini model to act on live HR data inside the BigQuery ecosystem.

You call the `jobs` tool with a specific code. The MCP Server returns the exact job configuration, which your agent can then use as a fixed reference point for other data processing tasks.

Yes. By invoking `payroll`, you pull the current pay period records directly into the flow, where your agent can perform deep, long-context analysis against other related data sets.

Absolutely. The `organizations` tool lists all component structures in UKG Pro. Your agent can use that full map to guide its subsequent data retrieval actions.

This server handles sensitive HR data, specifically worker profiles (from `employees` and `payroll`) and organizational structure. This is PII and compensation information.

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