UKG Pro Learning MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect UKG Pro Learning through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="UKG Pro Learning Assistant",
instructions=(
"You help users interact with UKG Pro Learning. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from UKG Pro Learning"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 8 tools from UKG Pro Learning through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries UKG Pro Learning, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The UKG Pro Learning MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the UKG Pro Learning MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from UKG Pro Learning
Why Use OpenAI Agents SDK with the UKG Pro Learning MCP Server
OpenAI Agents SDK provides unique advantages when paired with UKG Pro Learning through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
UKG Pro Learning + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the UKG Pro Learning MCP Server delivers measurable value.
Automated workflows: build agents that query UKG Pro Learning, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries UKG Pro Learning, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through UKG Pro Learning tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query UKG Pro Learning to resolve tickets, look up records, and update statuses without human intervention
UKG Pro Learning MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect UKG Pro Learning to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting UKG Pro Learning to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
UKG Pro Learning + OpenAI Agents SDK FAQ
Common questions about integrating UKG Pro Learning MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.