UKG Pro MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add UKG Pro as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to UKG Pro. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in UKG Pro?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine UKG Pro tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The UKG Pro MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the UKG Pro MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the UKG Pro MCP Server
LlamaIndex provides unique advantages when paired with UKG Pro through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine UKG Pro tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain UKG Pro tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query UKG Pro, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what UKG Pro tools were called, what data was returned, and how it influenced the final answer
UKG Pro + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the UKG Pro MCP Server delivers measurable value.
Hybrid search: combine UKG Pro real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query UKG Pro to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying UKG Pro for fresh data
Analytical workflows: chain UKG Pro queries with LlamaIndex's data connectors to build multi-source analytical reports
UKG Pro MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect UKG Pro to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting UKG Pro to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUKG Pro + LlamaIndex FAQ
Common questions about integrating UKG Pro MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect UKG Pro with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect UKG Pro to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.