How to Use the Udemy MCP in Claude Code

Q: How do I check my total course performance using Udemy and Claude Code?

You execute a script that first calls instructorcourses to map all classes. Then, the script runs instructorreviews across those IDs, outputting a machine-readable summary file.

Q: Can I use Udemy and Claude Code for single course analysis?

Yes. You run the specific Course ID through coursereviews. The CLI client handles the API call and pipes the raw review data directly to your local system for immediate scripting.

Q: Does this MCP Server help me list all my classes taught on Udemy using Claude Code?

It does. You just run instructorcourses in your terminal. The result is a clean, processable list of identifiers ready for the next step in your CI/CD pipeline.

Q: If I need to analyze multiple user questions from Udemy, which tools should I use with Claude Code?

Use instructorqa. You script a loop that calls this tool and pipes all the resulting question objects into a database ingestion utility.

Run Udemy data workflows from your terminal with Claude Code.

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Create your Vinkius account to connect Udemy to Claude Code 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 Code

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Claude Code and the MCP Server

Write a script that pulls all available reviews for an instructor's entire catalog. Run `instructor_reviews` to fetch feedback, pipe it into a CSV formatter, and output the result directly to stdout. This makes it perfect for CI/CD pipelines that run nightly data checks.

Batch Processing Udemy Course Details

Need details on fifty courses? First, list them using `instructor_courses`. Then, loop through the resulting IDs and execute `courses` for each one. The entire sequence runs headlessly in a single shell script. This is fast and repeatable.

Extracting Instructor Interaction Logs

Use `instructor_qa` to grab all questions asked across your courses, then pipe the JSON output into a tool that generates markdown documentation. You can schedule this with cron jobs. It's ideal for generating knowledge base updates.

Setup guide

Set up Udemy MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see udemy-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Udemy transactions." It will automatically discover and invoke the available Udemy tools.

Terminal

claude mcp add --transport http udemy-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Udemy MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Udemy MCP in Claude Code

You execute a script that first calls `instructor_courses` to map all classes. Then, the script runs `instructor_reviews` across those IDs, outputting a machine-readable summary file.

Yes. You run the specific Course ID through `course_reviews`. The CLI client handles the API call and pipes the raw review data directly to your local system for immediate scripting.

This MCP Server touches Course IDs, instructor messages, QA questions, and course review text. When running scripts, the output is always controlled by your local shell environment.

It does. You just run `instructor_courses` in your terminal. The result is a clean, processable list of identifiers ready for the next step in your CI/CD pipeline.

Use `instructor_qa`. You script a loop that calls this tool and pipes all the resulting question objects into a database ingestion utility.

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