UKG Pro Learning 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 Learning as an MCP tool provider through the 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 Learning. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in UKG Pro Learning?"
)
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 Learning MCP Server
The UKG Pro Learning MCP Server integrates the Model Context Protocol with the UKG LMS, enabling AI agents to query training catalogs, track employee course completions, manage learning paths, and fetch enrollment data.
LlamaIndex agents combine UKG Pro Learning tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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 Learning 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 Learning to LlamaIndex via MCP
Follow these steps to integrate the UKG Pro Learning 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 Learning
Why Use LlamaIndex with the UKG Pro Learning MCP Server
LlamaIndex provides unique advantages when paired with UKG Pro Learning through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine UKG Pro Learning tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain UKG Pro Learning tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query UKG Pro Learning, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what UKG Pro Learning tools were called, what data was returned, and how it influenced the final answer
UKG Pro Learning + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the UKG Pro Learning MCP Server delivers measurable value.
Hybrid search: combine UKG Pro Learning real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query UKG Pro Learning 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 Learning for fresh data
Analytical workflows: chain UKG Pro Learning queries with LlamaIndex's data connectors to build multi-source analytical reports
UKG Pro Learning MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect UKG Pro Learning to LlamaIndex via MCP:
courses.enrollments
List all enrollments for a specific course
courses.get
Get a specific training course by ID
courses.list
List all training courses in UKG Learning
curricula.courses
Get courses included in a specific curriculum
curricula.list
List tracking curricula (Learning Paths)
enrollments
List enrollments for a specific user
users.get
Get details for a specific user
users.list
List all users in the academy
Example Prompts for UKG Pro Learning in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with UKG Pro Learning immediately.
"List all active training courses available to the Sales team."
"Check the training completion status for employee 'Jane Smith' on the compliance path."
"Assign the 'Cybersecurity 101' curriculum to all new hires in the Engineering department."
Troubleshooting UKG Pro Learning MCP Server with LlamaIndex
Common issues when connecting UKG Pro Learning to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUKG Pro Learning + LlamaIndex FAQ
Common questions about integrating UKG Pro Learning 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 Learning 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 Learning to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.