How to Use the Udemy MCP in Cursor

Q: How do I connect Udemy tools in Cursor?

You add the server to your project scope by creating a .cursor/mcp.json file. Then, make sure Agent mode is enabled in the chat to let the AI call the tools.

Q: Can I get a list of all Udemy courses taught by an instructor in Cursor?

Yes. You call instructorcourses to fetch the full curriculum roster. This data becomes available for you to write functions that process it immediately.

Q: Do I need special setup for Udemy tools in Cursor?

Just create a .cursor/mcp.json file and add the server definition there, or use one of the provided one-click install links from the documentation.

Build Code That Uses Live Udemy API Responses in Cursor's Agent Mode.

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Connect Udemy MCP to Cursor

Create your Vinkius account to connect Udemy to Cursor 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 Cursor

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Inject Course Reviews into Working Code

When you need to show an API response, use the `course_reviews` tool. The AI generates working code that includes live data pulled from a specific Udemy course ID. This means your resulting function doesn't just have mock stubs; it runs against real user feedback.

Retrieve Instructor Content for Code Context

The `instructor_qa` tool grabs every QA question from all courses taught by the instructor. You can write code that processes this live list of questions. Similarly, you retrieve direct messages using `instructor_messages`, allowing your agent to structure logic around real user communication.

Process All Udemy Course Data in Code

The server gives you `courses` details for a single ID. Your code can use this structured data, along with `instructor_reviews`, to build complex reporting functions. It's about getting live context into the file you’re writing right now.

Setup guide

Set up Udemy MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Udemy MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Udemy transactions." If the MCP tools are loaded correctly, Cursor will call the Udemy tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "udemy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Udemy MCP in Cursor

You add the server to your project scope by creating a `.cursor/mcp.json` file. Then, make sure Agent mode is enabled in the chat to let the AI call the tools.

The tools provide access to course details, reviews (both general and instructor-specific), QA questions, and direct messages. All this flows into your code context.

Yes. You call `instructor_courses` to fetch the full curriculum roster. This data becomes available for you to write functions that process it immediately.

Just create a `.cursor/mcp.json` file and add the server definition there, or use one of the provided one-click install links from the documentation.

The server handles reviews, courses, QA questions, and direct messages. Be specific about which data type you are requesting to keep your code accurate.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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