How to Use the Learn Amp MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK system update user profiles in Learn Amp automatically?

Yes, your agent can modify profiles directly. It uses getuser to pull the current profile data and then triggers updateuser to apply changes like department or role updates.

Spin up production-grade OpenAI Agents SDK workflows that manage your team's training paths directly in Learn Amp.

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Connect Learn Amp MCP to OpenAI Agents SDK

Create your Vinkius account to connect Learn Amp to OpenAI Agents SDK 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 Learn Amp with OpenAI Agents SDK

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Automate employee onboarding with safe agent guardrails

Deploy your OpenAI Agents SDK system to handle new Learn Amp hires without manual oversight. When a new team member joins, your agent calls `create_user` to register them, then fetches available pathways with `list_learnlists`. The SDK's built-in validation checks ensure no duplicate Learn Amp accounts are spawned. If an OpenAI agent tries to assign a restricted Learn Amp pathway, the guardrails block the action before it hits your production API. You get complete transparency through the OpenAI dashboard while keeping your Learn Amp user database clean and organized.

Manage complex learning paths using specialized MCP Server agents

Let specialized OpenAI agents pass tasks back and forth to keep your team's Learn Amp training on track. One agent can monitor progress by calling `list_items`, while another agent takes over to mark milestones using `complete_item`. This OpenAI agent handoff happens behind the scenes without messy custom glue code for your Learn Amp data. The OpenAI Agents SDK manages these Learn Amp transitions natively. Your agents talk to each other and trigger the right Learn Amp tools at the right moment, keeping your operational data accurate and up to date.

Safe offboarding and user lifecycle management

Handle departures securely by letting your OpenAI agent manage Learn Amp account status. The agent looks up the target profile via `get_user` and immediately runs `deactivate_user` to cut off access. This MCP Server connection ensures that Learn Amp offboarding happens instantly when triggered by an OpenAI agent. You preserve all historical Learn Amp compliance data for audits without leaving active, unused accounts vulnerable to unauthorized access.

Setup guide

Set up Learn Amp MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Learn Amp tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Learn Amp tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Learn Amp tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Learn Amp Agent",
            instructions="You have access to Learn Amp tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Learn Amp MCP in OpenAI Agents SDK

Install the package using pip install openai-agents. Initialize the server using MCPServerStreamableHttp with your endpoint URL, then pass it directly into your Agent constructor using the mcp_servers argument. Set cacheToolsList to True to make tool discovery fast.

Yes, your agent can modify profiles directly. It uses get_user to pull the current profile data and then triggers update_user to apply changes like department or role updates.

The SDK automatically discovers all ten tools exposed by this MCP Server at runtime. You do not need to manually define schemas or write wrapper functions for tools like list_users or list_verbs.

You can control tool access by defining specific system prompts and guardrails within the OpenAI framework. This prevents unauthorized execution of sensitive tools like deactivate_user while allowing read-only tools.

All user profile data and learning records remain inside your Vinkius sandbox. The integration uses a secure, ephemeral connection that never stores your Learn Amp API keys or user records on external servers.

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