How to Use the UKG Pro Learning MCP in Pydantic AI

Q: What specific user details does UKG Pro Learning provide via Pydantic AI?

The users tool delivers structured employee profiles. This means you get guaranteed fields for IDs and names, making it safe for your agent to use that data in downstream processes.

Q: Can I reliably check learning paths using UKG Pro Learning with Pydantic AI?

Yes. When you call curricula, the response validates every path against a defined schema. You don't have to worry about unexpected data types corrupting your agent's logic.

Q: What is the best way to verify course availability for UKG Pro Learning with Pydantic AI?

Use courses to get specific training details. Because of runtime validation, you'll always know if the data structure matches your expectations before your agent uses it.

Ensure data accuracy for Pydantic AI and UKG Pro Learning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect UKG Pro Learning MCP to Pydantic AI

Create your Vinkius account to connect UKG Pro Learning to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup UKG Pro Learning with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get User Details with the MCP Server

You grab specific employee details using `users`. Because of Pydantic's validation, your agent gets structured data—no unexpected fields. This makes building accurate reports on UKG Pro Learning straightforward. It guarantees that any user ID or name returned is exactly what you expect it to be.

List Training Paths Using Pydantic AI

Call `curricula` when you need a list of tracking curricula. The response validates against defined models, so your agent never processes corrupted or incomplete learning path data from UKG Pro Learning. This certainty is crucial: it means the logic built around these paths will always execute correctly.

Check Enrollment Status with Pydantic AI

To see what a user signed up for, run `enrollments`. The toolset validates that every returned enrollment record contains required fields. Your agent knows the data is clean before making any reports on UKG Pro Learning. This prevents silent failures and lets your client focus purely on the actionable insights.

Setup guide

Set up UKG Pro Learning MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "ukg-pro-learning-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to UKG Pro Learning tools.",
)

result = await agent.run("List recent UKG Pro Learning transactions")
print(result.output)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect UKG Pro Learning now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about UKG Pro Learning MCP in Pydantic AI

You pass the MCP Toolset to your Agent. The framework then ensures that every piece of data received from the server—whether it's a user or a course list—conforms perfectly to your Python models.

The `users` tool delivers structured employee profiles. This means you get guaranteed fields for IDs and names, making it safe for your agent to use that data in downstream processes.

Yes. When you call `curricula`, the response validates every path against a defined schema. You don't have to worry about unexpected data types corrupting your agent's logic.

The server touches user identifiers and enrollment records. Using Pydantic validation ensures that even if the API returns bad data, your agent fails loud, alerting you to potential security or integrity issues.

Use `courses` to get specific training details. Because of runtime validation, you'll always know if the data structure matches your expectations before your agent uses it.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript