How to Use the UKG Pro Learning MCP in Google ADK
Build enterprise agents for Google ADK and UKG Pro Learning.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up UKG Pro Learning MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Learning tools in your ADK agent.
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.
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Common questions about UKG Pro Learning MCP in Google ADK
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