How to Use the LearnWorlds MCP in Mastra AI

Q: Can Mastra AI automate LearnWorlds course access?

Absolutely. You define a workflow in Mastra AI that calls enrollstudent whenever your specific conditions are met.

Q: How do I manage LearnWorlds tool approval in Mastra AI?

Set the requireToolApproval flag in your agent configuration. This forces a human to sign off before the server executes sensitive actions like enrollment.

Build complex enrollment workflows in Mastra AI by chaining LearnWorlds actions with automatic retries and error handling.

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Connect LearnWorlds MCP to Mastra AI

Create your Vinkius account to connect LearnWorlds to Mastra AI 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 LearnWorlds with Mastra AI

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Automated enrollment logic

Chain `list_students` with `enroll_student` to build multi-step flows. If a step fails, your Mastra AI workflow engine handles the retry logic automatically. This is perfect for high-volume signups where you need to verify student status before granting access.

Conditional payment processing

Use `list_payments` to check transaction status before triggering downstream actions. You can build branches that react differently if a student's subscription is pending. It removes the need for manual oversight on simple payment verification tasks.

Subscription state monitoring

Monitor `list_subscriptions` to keep your internal database updated. Your agents can trigger alerts or account changes when a subscription status flips. It keeps your system state consistent without you constantly polling the API manually.

Setup guide

Set up LearnWorlds MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All LearnWorlds tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "learnworlds-mcp-client",
  servers: {
    "learnworlds-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "LearnWorlds Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to LearnWorlds tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent LearnWorlds transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LearnWorlds. 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 LearnWorlds MCP in Mastra AI

Absolutely. You define a workflow in Mastra AI that calls `enroll_student` whenever your specific conditions are met.

Yes. You can use the output of any tool as a condition for the next step in your agent workflow.

Set the `requireToolApproval` flag in your agent configuration. This forces a human to sign off before the server executes sensitive actions like enrollment.

The framework handles retries with backoff. If you hit a limit, the workflow pauses and tries again based on your settings.

The connection uses secure transport protocols. Your sensitive transaction records are never stored in the agent's memory longer than necessary for the current task.

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