How to Use the MSAAQ MCP in OpenAI Agents SDK

Q: How do I connect MSAAQ to my OpenAI Agents SDK project?

You initialize an MCPServerStreamableHttp instance with your server endpoint. Pass this object to your agent constructor's mcpservers parameter to enable auto-discovery.

Q: Can MSAAQ verify certificates automatically in OpenAI Agents SDK?

Yes. Your agent calls the verifyissuedcertificate tool to check credential validity. It returns a definitive status, allowing your agent to handle the next step immediately.

Q: Does MSAAQ support bulk user listing for OpenAI Agents SDK?

Use listregisteredusersadmin to retrieve a full student directory. Your agent can then iterate through this list for batch operations or reporting.

Q: How does MSAAQ handle sensitive student profile data?

The server only exposes specific fields through getloggedinuserprofile. This keeps private student records away from your agent's general context unless requested.

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Connect MSAAQ MCP to OpenAI Agents SDK

Create your Vinkius account to connect MSAAQ 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 MSAAQ with OpenAI Agents SDK

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Automated student onboarding sequences

Trigger `create_new_student_account` directly from your agent logic to register new users without manual oversight. This flow handles account provisioning while your agent validates input data in real-time. Once the account exists, use `enroll_student_in_course` to push students into specific programs instantly. The system maps the user to the course ID, ensuring your agent maintains accurate registration states throughout the lifecycle.

Real-time course monitoring with OpenAI Agents SDK

Query `get_course_performance_stats` to feed live analytics back into your agent's decision loop. You get clear visibility into how courses perform without leaving your development environment. Use `list_available_learning_courses` to filter what students see. Your agent parses these results to suggest relevant materials, keeping the student experience focused and relevant to their current progress.

Secure certificate and profile management

Validate academic credentials using `verify_issued_certificate` to ensure authenticity before granting access to advanced modules. This tool provides a direct confirmation hook for your verification logic. Retrieve active progress via `get_my_active_enrollments` or `list_student_certificates` to build personalized dashboards. Your agent consumes this data to report precise status updates to the user.

Setup guide

Set up MSAAQ 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 MSAAQ tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate MSAAQ 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="MSAAQ Agent",
            instructions="You have access to MSAAQ 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 MSAAQ MCP in OpenAI Agents SDK

You initialize an `MCPServerStreamableHttp` instance with your server endpoint. Pass this object to your agent constructor's `mcp_servers` parameter to enable auto-discovery.

Yes. Your agent calls the `verify_issued_certificate` tool to check credential validity. It returns a definitive status, allowing your agent to handle the next step immediately.

The server uses isolated memory and strict auth. You provide a single endpoint token, ensuring your agent only accesses data it has explicit permission to reach.

Use `list_registered_users_admin` to retrieve a full student directory. Your agent can then iterate through this list for batch operations or reporting.

The server only exposes specific fields through `get_logged_in_user_profile`. This keeps private student records away from your agent's general context unless requested.

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