How to Use the Udemy MCP in OpenAI Agents SDK

Q: How do I check for course details using Udemy and the OpenAI Agents SDK?

You use the courses tool, which accepts a specific course ID. The agent returns all necessary metadata about that single class, like its title and description.

Q: Can I use my agent to list instructor reviews from Udemy using the OpenAI Agents SDK?

Yes. The instructorreviews tool gathers all review data for every class an authenticated instructor has taught, providing a comprehensive performance overview.

Q: Does this MCP Server help with direct communications on Udemy and the OpenAI Agents SDK?

Yep. The instructormessages tool lets you pull the direct messages associated with the logged-in instructor account, giving context beyond just course material.

Get course reviews and instructor data directly into your OpenAI Agents SDK workflows.

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Connect Udemy MCP to OpenAI Agents SDK

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

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Fetch Instructor's Full Course Portfolio

The `instructor_courses` tool lists every course taught by the authenticated user. This lets you quickly map out a professional's entire teaching footprint on Udemy. You get all necessary IDs to then pull details for each class, saving time compared to manually searching across multiple pages.

Analyze Course Feedback and Reviews

The `course_reviews` tool retrieves reviews using a specific course ID. This gives your agent the raw feedback needed—perfect for sentiment analysis or tracking reputation changes. If you need to check all courses taught by an instructor, use `instructor_reviews`, which aggregates feedback across their entire portfolio.

Manage Instructor Q&A and Messaging

Need context on student questions? The `instructor_qa` tool lists every QA question across all courses taught by the instructor. This lets your agent identify common knowledge gaps or recurring technical issues. It also provides access to private communications via `instructor_messages`, letting you process direct feedback and correspondence.

Setup guide

Set up Udemy 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 Udemy tools at runtime.
3

Create your Agent

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

Run the agent

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

You use the `courses` tool, which accepts a specific course ID. The agent returns all necessary metadata about that single class, like its title and description.

This server handles various forms of structured text data: course IDs, user messages, QA questions, and detailed course reviews. It's all textual feedback and metadata.

Yes. The `instructor_reviews` tool gathers all review data for every class an authenticated instructor has taught, providing a comprehensive performance overview.

Yep. The `instructor_messages` tool lets you pull the direct messages associated with the logged-in instructor account, giving context beyond just course material.

The OpenAI Agents SDK includes built-in guardrails that validate agent actions before execution. This means you get safety constraints designed for a deployed, reliable product system.

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