How to Use the Learn Amp MCP in Mastra AI

Q: Can I use Mastra AI to manage Learn Amp permissions?

You can use updateuser to change account details or deactivateuser to restrict access. These operations work within the standard agent workflow provided by Mastra.

Automate employee development workflows with the Learn Amp MCP Server and Mastra AI for reliable, agent-driven operations.

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Connect Learn Amp MCP to Mastra AI

Create your Vinkius account to connect Learn Amp 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 Learn Amp with Mastra AI

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Perplexity

Build resilient learning workflows with Mastra AI

Define complex logic for employee onboarding using `create_user` and `list_learnlists`. Mastra AI handles the execution flow, ensuring every step completes in order. If a step fails, you can rely on the framework's retry logic to attempt the operation again. It keeps your development pipelines moving without manual intervention.

Automate user status and access control

Trigger a `deactivate_user` operation when an employee leaves the company to keep your platform secure. You can build these actions into your existing offboarding agents. It removes the need for human oversight on routine account tasks. Your agents handle the state changes while you focus on higher-level strategy.

Monitor learning progress with agent-based logic

Use `list_items` and `complete_item` to keep track of training requirements across your organization. Agents can evaluate performance data to suggest new pathways. This creates a closed-loop system where agents analyze needs and update records automatically. You get a clear view of who is growing and who needs support.

Setup guide

Set up Learn Amp 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 Learn Amp 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: "learn-amp-mcp-client",
  servers: {
    "learn-amp-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Learn Amp MCP in Mastra AI

You add the server URL to your Mastra agent configuration. The framework then auto-detects all available tools like `list_verbs` so your agents can start working immediately.

You can use `update_user` to change account details or `deactivate_user` to restrict access. These operations work within the standard agent workflow provided by Mastra.

Yes, you can enable tool approval in your agent settings. This forces the AI to wait for your sign-off before executing destructive actions like `deactivate_user`.

The server is designed for standard throughput, but you should implement your own throttling if you have high-frequency agent tasks. You can use Mastra's built-in delay functions between calls.

Data privacy is maintained through token-based authentication at the server level. Only your specific agent instance can access user records, and your credentials are never exposed in the agent code.

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