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Udemy MCP Server
for AI Agents

Production-ready Udemy MCP server with extensible actions — plus built-in authentication, security, and optimized execution.

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Udemy MCP Server
Built by StackOne StackOne

Coverage

9 Agent Actions

Create, read, update, and delete across Udemy — and extend your agent's capabilities with custom actions.

MCP Actions → Create Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Udemy MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Udemy tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Udemy call.

Tools Discovery →

What is the Udemy MCP Server?

A Udemy MCP server lets AI agents read and write Udemy data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Udemy MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Udemy MCP Tools and Actions

Every action from Udemy's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Courses

  • List Courses

    Retrieve a list of courses

  • Get Course

    Retrieve details of a specific course

User Activity Reports

  • Get User Activity Report

    Retrieve user activity analytics

User Course Activitys

  • Get User Course Activity

    Retrieve user course activity analytics

Learning Activity Attempt Summarys

  • Get Learning Activity Attempt Summary

    Retrieve learning activity attempt data

User Path Activitys

  • Get User Path Activity

    Retrieve user learning path activity

User Lab Activity (UPro Only)s

  • Get User Lab Activity (UPro Only)

    Retrieve user lab activity analytics

User Assessment Activity (UPro Only)s

  • Get User Assessment Activity (UPro Only)

    Retrieve user assessment activity analytics

Learning Paths

  • List Learning Paths

    Retrieve a list of learning paths

Set Up Your Udemy MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Udemy in under 10 lines of code.

MCP Clients

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

More Learning / LMS MCP Servers

Saba

122+ actions

Xyleme

79+ actions

360Learning

78+ actions

Adobe Learning Manager

72+ actions

Go1

69+ actions

SAP SuccessFactors

69+ actions

Discourse

67+ actions

All Learning / LMS MCP Servers →

Udemy MCP Server Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

Udemy MCP Server FAQ

Udemy MCP server vs direct API integration — what's the difference?
A Udemy MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Udemy. A Udemy MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Udemy at runtime. StackOne provides both.
How does Udemy authentication work for AI agents?
Udemy authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Udemy account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Udemy MCP tools vulnerable to prompt injection?
Yes — Udemy MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Udemy agent and how do I avoid it?
Context bloat happens when Udemy tool schemas and API responses eat your Udemy agent's memory, preventing it from reasoning effectively. A single Udemy query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Udemy agent can access?
Yes — you can limit which actions your Udemy agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Udemy MCP server?
Yes — you can create custom agent actions for your Udemy MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Udemy's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Udemy MCP server?
Skip a Udemy MCP server if your integration is purely software-to-software — direct Udemy API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Udemy actions at runtime.
What AI frameworks and AI clients does the StackOne Udemy MCP server support?
The StackOne Udemy MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.

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