How to Use the 360Learning MCP in OpenAI Agents SDK

Directly manage your 360Learning platform from your OpenAI Agents SDK production pipeline.

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Connect 360Learning MCP to OpenAI Agents SDK

Create your Vinkius account to connect 360Learning 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 360Learning with OpenAI Agents SDK

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Automated user provisioning

Use `create_user` to register new learners or admins directly through your agent logic. It forces the system to verify required fields like email and names before hitting the API. Your production agent handles the onboarding flow without manual dashboard entry. This keeps your user database in sync with your internal recruitment systems.

Real-time training analytics

Query `get_stats` to pull completion rates and assessment scores into your OpenAI Agents SDK environment. Filter by ID to isolate performance metrics for specific cohorts. This data feeds directly into your model for automated reporting. You get precise numbers on how your team is progressing through assigned modules.

Course discovery via MCP Server

Call `list_courses` to index your entire training catalog dynamically. Once you have the target ID, use `get_course` to grab the technical breakdown and lesson details. Your agent now understands the content structure without needing a human to copy-paste metadata. It maps the training material to your specific project requirements.

Setup guide

Set up 360Learning 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 360Learning tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 360Learning tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate 360Learning 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="360Learning Agent",
            instructions="You have access to 360Learning tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 360Learning. 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.

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Common questions about 360Learning MCP in OpenAI Agents SDK

Import the MCPServerStreamableHttp class and point it to your Vinkius endpoint. Pass the server instance into your Agent constructor to let the framework auto-discover your tools.

Yes, set cacheToolsList=True in your configuration. This prevents redundant network calls and keeps your agent responsive during complex task execution.

Your agent only touches course IDs, user names, and completion scores via an ephemeral Vinkius sandbox. We strip out sensitive credentials, ensuring your training data stays isolated from the model's training set.

The integration relies on Python's async context managers. This allows your agent to handle multiple tool calls without blocking the main event loop.

Pass the specific Group or User ID into the tool arguments. The server validates these inputs before executing any query against the platform.

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