How do I get an Access Token for MSAAQ?

Log in to your MSAAQ dashboard and navigate to the API or Developer portal section to generate your unique OAuth2 access token.

Can the agent enroll students into courses?

Yes, using the `enroll_student_in_course` tool, the agent can manually register students into specific courses.

Is it possible to verify certificates?

Absolutely. The `verify_issued_certificate` tool allows the agent to check the validity of any certificate issued by the platform using its UUID.

INSTANT PLUG AND PLAY

MSAAQ MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Connectivity, Create New Student Account, Enroll Student In Course, and more

Name: MSAAQ
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MSAAQ through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The MSAAQ app connector for OpenAI Agents SDK is a standout in the Ecommerce category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="MSAAQ Assistant",
            instructions=(
                "You help users interact with MSAAQ. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from MSAAQ"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About MSAAQ MCP Server

Empower your AI agent with access to the MSAAQ Learning Management System (LMS) to automate your educational workflows and student management.

The OpenAI Agents SDK auto-discovers all 12 tools from MSAAQ through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MSAAQ, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Course Management (Admin) — List all courses and retrieve detailed engagement and enrollment statistics.
Student Oversight — Manage user accounts, create new student profiles, and manually enroll students into courses.
Learning Experience — Access available learning courses, module metadata, and monitor student progress.
Certification Tracking — List earned certificates and verify the authenticity of issued course completions via UUID.

The MSAAQ MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 MSAAQ tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to MSAAQ through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, student-enrollment, course-analytics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_connectivity

Verify MSAAQ API status

create_new_student_account

Requires name and email. Invite or create a new user

enroll_student_in_course

Enroll a user into a course

get_course_performance_stats

Get analytics for a course

get_learning_course_details

Get details for a course

get_logged_in_user_profile

Get current user profile

get_my_active_enrollments

List my enrolled courses

list_all_courses_admin

List all courses (Admin)

list_available_learning_courses

List courses for students

list_registered_users_admin

List all students and users

list_student_certificates

List my earned certificates

verify_issued_certificate

Verify a certificate authenticity

Connect MSAAQ to OpenAI Agents SDK via MCP

Follow these steps to wire MSAAQ into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from MSAAQ

Why Use OpenAI Agents SDK with the MSAAQ MCP Server

OpenAI Agents SDK provides unique advantages when paired with MSAAQ through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

MSAAQ + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the MSAAQ MCP Server delivers measurable value.

Automated workflows: build agents that query MSAAQ, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries MSAAQ, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through MSAAQ tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query MSAAQ to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for MSAAQ in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MSAAQ immediately.

"List all active courses in my MSAAQ admin panel."

"Enroll student 'John Doe' (ID: usr_789) into the 'Advanced RAG' course."

"Show me my course completion certificates."

Troubleshooting MSAAQ MCP Server with OpenAI Agents SDK

Common issues when connecting MSAAQ to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

MSAAQ + OpenAI Agents SDK FAQ

Common questions about integrating MSAAQ MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.