How to Use the Knorish MCP in OpenAI Agents SDK

Run your Knorish LMS operations autonomously using the OpenAI Agents SDK with built-in guardrails and automatic tool discovery.

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Connect Knorish MCP to OpenAI Agents SDK

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

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Automated enrollment via the OpenAI Agents SDK

This MCP Server exposes the `create_user` and `enroll_user` tools to handle your entire student registration flow without manual intervention. Your agent intercepts new customer events from your payment processor, spins up a student profile, and registers them for the correct curriculum immediately. When a sale clears, the agent triggers these actions sequentially, verifying the setup via `get_user` to ensure the student has active access. If anything fails, the OpenAI dashboard traces the exact tool arguments so you can debug the payload in real-time.

Active progress monitoring with guardrails

This MCP Server uses `get_student_progress` to fetch completion metrics directly from your academy. Your agent analyzes these metrics to identify struggling students or trigger congratulatory emails when someone finishes a major module. Since the OpenAI Agents SDK supports safety guardrails, you can restrict the agent from running destructive actions like `unenroll_user` without explicit human approval. This prevents accidental account suspensions while letting the agent handle routine progress tracking autonomously.

Dynamic catalog retrieval and bundle syncing

This MCP Server provides `list_courses` and `list_bundles` to expose your entire academy catalog to your agent. When customers ask about available training programs, the agent pulls live pricing and structure details directly from your school database. Because the OpenAI Agents SDK caches the tool list using the cache tools configuration, your agent answers catalog queries in milliseconds. It matches user goals with specific course IDs and initiates the onboarding flow instantly.

Setup guide

Set up Knorish 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 Knorish tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the SDK and initialize the streamable HTTP server pointing to your Vinkius endpoint. Pass the server instance inside the servers list when creating your Agent. The SDK automatically discovers all twelve tools.

Yes, you can dedicate one agent to sales using course list tools and another to support using progress tracking tools. The SDK manages the handoffs between these specialized agents while maintaining the shared session state.

The SDK relies on your HTTP transport configuration. You can manage rate limits by wrapping your tool calls in custom middleware or letting your agent handle retry logic natively.

No, your agent can run the webhook creation tools to configure system alerts programmatically. This lets your external CRM receive real-time updates whenever a student completes a course.

Vinkius runs the integration inside a secure, ephemeral V8 Isolate sandbox. Your credentials never touch the client, and all API communication goes through a single tokenized endpoint that isolates your student records from external threats.

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