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How to Use the UKG Pro Workforce Management MCP in LlamaIndex

Build knowledge-augmented RAG systems for UKG Pro Workforce Management using LlamaIndex.

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LlamaIndex

Connect UKG Pro Workforce Management MCP to LlamaIndex

Create your Vinkius account to connect UKG Pro Workforce Management to LlamaIndex 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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Indexing historical time records

When you run the `timesheets` tool, the output gets indexed into your vector store. Now, instead of just viewing a list, you can query past data like, 'What were John's hours on this date?' and get an answer grounded in actual API results.

Searching through time-off policies

Use the `timeoff` tool to pull a list of all employee requests. LlamaIndex indexes these records, letting you ask natural language questions like, 'Who requested PTO next month?' and get results from the knowledge base.

Retrieving schedule conflicts

The `schedules` tool output—staffing patterns for a whole department—becomes searchable. You can combine this with other data to ask, 'Which employees are scheduled but have low PTO accruals?' and get accurate answers from the index.

Setup guide

Set up UKG Pro Workforce Management MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all UKG Pro Workforce Management MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to UKG Pro Workforce Management tools.",
)
response = await agent.run("List recent UKG Pro Workforce Management data")

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 Workforce Management. 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 Workforce Management MCP in LlamaIndex

LlamaIndex takes the raw schedule data from the `schedules` tool and turns it into searchable facts. You can query the historical pattern of staffing levels across departments.
Absolutely. The `timeoff` data gets indexed, meaning you don't just see a list; you can ask specific questions about past or future leave patterns.
Yes. By indexing `timesheets` data, you create a searchable log of hours worked. This makes auditing much easier than just looking at the current tool output.
It is. You can index changes to accrued balances using the `accruals` tool. This lets you query trends, such as 'What was the average sick leave balance growth last quarter?'
It touches employee schedules, time off requests, timesheet records, and accrual balances. These are all core personnel records that become indexed knowledge.

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