How to Use the UKG Pro Learning MCP in Claude Code

Q: How can I check user enrollment status using UKG Pro Learning and Claude Code?

Pipe a User ID into the enrollments tool. This returns all associated records, letting your script confirm if training is complete or pending.

Q: What kind of data does this MCP Server manage for UKG Pro Learning and Claude Code?

It handles user profiles (users), full curriculum lists (curricula), and individual course records (courses). All tools provide clean, structured output ideal for scripting.

Q: Can I use this MCP Server to verify mandatory training completion with UKG Pro Learning and Claude Code?

Yes. By combining curricula (to find the path) and enrollments (to check status), you can build a robust pipeline that verifies compliance across hundreds of users.

Run complex training audits in CI/CD pipelines using Claude Code.

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Connect UKG Pro Learning MCP to Claude Code

Create your Vinkius account to connect UKG Pro Learning to Claude Code 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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Setup UKG Pro Learning with Claude Code

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Get Core User Records

The `users` tool retrieves specific details for an employee ID. You can feed this data into a shell script to check against a list of active employees or compliance groups. It’s reliable, headless execution. Running this in a GitHub Action means you get the user data output piped directly to your next command—maybe generating a CSV file that needs reviewing.

Audit Learning Paths

Use `curricula` to list every defined learning path. This allows your pipeline to automatically check for required paths across all departments, which is critical for compliance reporting. It's a massive audit capability. Since this runs in the terminal, you don't worry about UI limits; you get raw lists of curricula data perfect for filtering or counting.

Check Enrollment Status Across Groups

The `enrollments` tool lets your script list all training records. You can automate checks like, 'Has anyone in Department X missed a mandatory course?' The output is designed to be consumed by other command-line tools. This mechanism is perfect for scheduled cron jobs that need to run background audits without any graphical interface.

Setup guide

Set up UKG Pro Learning MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see ukg-pro-learning-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest UKG Pro Learning transactions." It will automatically discover and invoke the available UKG Pro Learning tools.

Terminal

claude mcp add --transport http ukg-pro-learning-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the UKG Pro Learning MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "ukg-pro-learning-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about UKG Pro Learning MCP in Claude Code

Pipe a User ID into the `enrollments` tool. This returns all associated records, letting your script confirm if training is complete or pending.

It handles user profiles (`users`), full curriculum lists (`curricula`), and individual course records (`courses`). All tools provide clean, structured output ideal for scripting.

Yes. By combining `curricula` (to find the path) and `enrollments` (to check status), you can build a robust pipeline that verifies compliance across hundreds of users.

Use it in non-interactive environments like Docker or CI/CD. It's designed for background tasks where you need reliable, headless access to HR learning data.

This server touches User IDs, Course IDs, Curriculum IDs, and Enrollment Records. Because it's run in pipelines, strict access control over this sensitive HR learning data is required.

Use it with your favorite AI tools

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

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