How to Use the Udemy MCP in Claude

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

Absolutely. You call instructorcourses, and it gives you the full roster of every course associated with that authenticated user profile.

Analyze Udemy Learning Data with Claude Desktop’s Local Tool Access.

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Connect Udemy MCP to Claude Desktop

Create your Vinkius account to connect Udemy to Claude Desktop 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 Claude Desktop

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Run Instructor Feedback Analysis via MCP Server

Use the `instructor_reviews` tool to pull feedback for every course taught by an instructor. You get a consolidated view of all reviews, perfect for deep analysis. Need more context? The server also lets you fetch direct messages (`instructor_messages`) and QA questions (`instructor_qa`), giving a complete picture of the learning experience.

Get Specific Course Details with Claude Desktop

If you know an ID, use `courses` to get all the details for that specific Udemy course. It’s fast and direct. Want to check what else is available? You can also retrieve a list of courses taught by the instructor using `instructor_courses`, so you always know your scope.

Review All Instructor Content in One Place

The `instructor_reviews` tool lets you pull feedback for every course, not just one. This is critical when analyzing an instructor’s overall performance. For granular checks, the `course_reviews` tool handles reviews for a single, specified public Udemy course ID.

Setup guide

Set up Udemy MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Udemy MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Udemy MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under udemy-mcp.

json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Udemy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Udemy MCP in Claude Desktop

You connect the MCP Server via your local setup (Desktop App) or by pasting the URL into Settings → Integrations for Claude Web. Once connected, you call tools like `instructor_reviews` directly in your prompt.

This MCP Server interacts with course details, reviews (both general and instructor-specific), direct messages, and QA questions related to the content.

Yes. If you set up the server locally using the Desktop App's stdio transport, your agent can run tool calls as subprocesses right on your machine, without needing internet access.

Absolutely. You call `instructor_courses`, and it gives you the full roster of every course associated with that authenticated user profile.

The server touches specific content types: reviews, courses, QA questions, and direct messages. Always confirm what data the tool is reading before running an analysis.

Use it with your favorite AI tools

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