How to Use the AcademyOcean MCP in Mastra AI

Q: Does AcademyOcean support human-in-the-loop with Mastra AI?

You can set requireToolApproval on any tool call. This forces the agent to pause until you sign off on the specific action before it hits the API.

Build complex training workflows in Mastra AI using this AcademyOcean MCP Server.

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…and any MCP-compatible client

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Connect AcademyOcean MCP to Mastra AI

Create your Vinkius account to connect AcademyOcean 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 AcademyOcean with Mastra AI

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Perplexity

Sync learners across platforms

Use `list_learners` inside your Mastra workflow to identify inactive accounts. Your agent can then compare this list against your CRM data to trigger automated cleanup steps. This ensures your training database stays current without manual intervention. You write the logic once, and the agent executes it whenever the schedule demands.

Handle course enrollments automatically

Chain `list_courses` with invitation logic to map users to their required training modules. If a user is missing from a course, the agent fires `invite_learner` to close the gap. This setup handles failures gracefully by letting you define retry logic for every step. You catch errors early before they affect the end user.

Execute training audits as agents

Deploy an agent to monitor `get_learner_progress` for all active employees. If completion rates drop below your threshold, the agent flags the issue for manager review. This gives you a proactive way to manage corporate training. You define the rules, and the agent enforces them across your entire organization.

Setup guide

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

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

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

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Why Choose Vinkius

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Common questions about AcademyOcean MCP in Mastra AI

Absolutely. You can drop the server into your agent configuration and start calling tools immediately. It integrates as a native tool provider.

You can build branches based on the output of any tool. For example, if a learner is missing from a course, the workflow can automatically trigger an invite.

You can set `requireToolApproval` on any tool call. This forces the agent to pause until you sign off on the specific action before it hits the API.

All tools execute inside our isolated sandbox environment. Your infrastructure stays lightweight while we handle the heavy lifting.

We keep your learner records behind strict authentication. Every request requires an endpoint token, and your sensitive training data is never exposed to third parties.

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