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How to Use the UKG Pro Learning MCP in Google ADK

Build enterprise agents for Google ADK and UKG Pro Learning.

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Google ADK

Connect UKG Pro Learning MCP to Google ADK

Create your Vinkius account to connect UKG Pro Learning 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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Retrieve Course Information via the MCP Server

Need to know about a specific class? Run `courses` to get all details for any training course using its ID. Your agent can instantly pull up curriculum data from UKG Pro Learning. This is critical when your team needs to provide targeted information about available professional development options.

Check Employee Enrollment Status with Google ADK

The `enrollments` tool lists current sign-ups for any user. This lets your agent confirm if an employee is actively registered or completed a specific module within UKG Pro Learning. You can use this to trigger follow-up actions—like scheduling a review session—based on the enrollment status.

List All Curricula Using Google ADK

To map out all available learning paths, call `curricula`. This method tracks and lists every established curriculum structure. Your agent can use this to give managers a high-level view of training options in UKG Pro Learning. It’s the perfect starting point for building an internal knowledge base around employee development.

Setup guide

Set up UKG Pro Learning 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Learning 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 Learning_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UKG Pro Learning tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

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Common questions about UKG Pro Learning MCP in Google ADK

The MCP Server lets your agent interact with core training functions, including listing users, courses, and curricula. It's designed to operate on structured employee data within UKG Pro Learning.
The `users` tool provides specific records of employees. Your agent gets clean, verifiable user details—names, IDs, etc.—which it can then use to scope other lookups within the system.
Absolutely. You check progress by calling `enrollments`. This tool confirms if a user is actively involved in training or has completed it, which helps your agent report accurate status updates.
The server touches employee enrollment records and personal user details. Since you're running on Google Cloud, remember to enforce strict IAM policies around accessing sensitive training data.
Use `curricula` to list all defined learning paths. This helps your agent understand the entire structure of mandatory or optional employee training required by the company.

Start using the UKG Pro Learning MCP today

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Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for UKG Pro Learning. Just plug in your AI agents and start using Vinkius.

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