How to Use the AcademyOfMine MCP in OpenAI Agents SDK

Q: How do I connect AcademyOfMine to OpenAI Agents SDK?

Install the SDK first. Initialize the connection using MCPServerStreamableHttp with your Vinkius endpoint. Pass this server instance directly inside the mcpservers list when creating your Agent.

Q: How does the AcademyOfMine integration in OpenAI Agents SDK handle user lookups?

The agent calls listusers via the MCP connection to search your portal directory. It then uses getuserdetails to pull specific metadata for the target student or instructor.

Q: Why should I use cacheToolsList with this AcademyOfMine setup?

Enabling cacheToolsList in your OpenAI Agents SDK config stops the agent from querying the server schema on every single turn. This speeds up your execution times and lowers your LLM token usage.

Manage your AcademyOfMine LMS programmatically using OpenAI Agents SDK with built-in safety guardrails and tracing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AcademyOfMine MCP to OpenAI Agents SDK

Create your Vinkius account to connect AcademyOfMine 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.

GDPR Free for Subscribers

Setup AcademyOfMine with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build courses safely via OpenAI Agents SDK

The `create_course` tool lets your agent initialize new training modules directly from your Python runtime. You can modify existing curricula on the fly using `update_course` while OpenAI's tracing dashboard records every API payload. Rather than manually clicking through the LMS dashboard, your autonomous script handles the setup. The agent reads course parameters from your codebase and writes them straight to AcademyOfMine, keeping your catalog in sync.

Manage student directories with this MCP Server

This AcademyOfMine MCP Server exposes the `create_user` tool to register learners and instructors inside your portal instantly. Your agent executes these provisioning tasks under strict SDK guardrails, preventing accidental duplicate accounts. If a user needs a profile update, the agent calls `get_user_details` to verify existing fields before applying changes. This keeps your user database clean without requiring manual administrative oversight.

Automate class enrollment inside OpenAI Agents SDK

The `enroll_student` tool connects your registration pipeline directly to active course rosters. Your agent registers users, verifies their status, and handles class access without human intervention. When students complete or drop a program, the agent invokes `unenroll_student` to clean up active seats. This keeps your licensing costs accurate and ensures your student records reflect reality in real-time.

Setup guide

Set up AcademyOfMine 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 AcademyOfMine tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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 AcademyOfMine. 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 AcademyOfMine 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 AcademyOfMine MCP in OpenAI Agents SDK

Install the SDK first. Initialize the connection using `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server instance directly inside the `mcp_servers` list when creating your Agent.

Yes, you set guardrails directly inside your OpenAI agent definition. This prevents the agent from calling destructive tools like `unenroll_student` unless specific programmatic conditions are met.

The agent calls `list_users` via the MCP connection to search your portal directory. It then uses `get_user_details` to pull specific metadata for the target student or instructor.

Enabling `cacheToolsList` in your OpenAI Agents SDK config stops the agent from querying the server schema on every single turn. This speeds up your execution times and lowers your LLM token usage.

All transmission of student records and course details goes through our MCP hosting on Vinkius's isolated V8 sandboxes. Your API keys are encrypted at rest, and the SDK only communicates over HTTPS to prevent data leaks.

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