How to Use the 360Learning MCP in Mastra AI

Build resilient training workflows with Mastra AI and manage 360Learning MCP enrollments automatically.

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Connect 360Learning MCP to Mastra AI

Create your Vinkius account to connect 360Learning 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 360Learning with Mastra AI

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Perplexity

Automate Complex Training Workflows

Onboarding new hires requires reliable user creation pipelines that rarely go perfectly on the first try. Systems timeout, emails bounce, or API limits hit. Mastra AI fixes this by wrapping your learning operations in a resilient workflow engine. You can build a multi-step pipeline that triggers `create_user` when a new employee record drops. If the initial request fails, the framework automatically retries with exponential backoff. Your HR team stops dealing with manual registration errors.

Chain 360Learning MCP Server Tools

Finding the right training path requires checking multiple group and course data points. You need to map departments to specific modules without hardcoding IDs. The MCP standard makes these lookups simple for your agent. A workflow might start with `list_groups` to find the engineering cohort. It then runs `list_courses` to locate the required security training. Finally, conditional branching decides whether to assign the course based on previous completion history.

Audit Learner Progress Autonomously

Tracking compliance training requires autonomous auditing of user statistics to save administrative time. Set up a cron job that runs a Mastra workflow every Friday afternoon. The agent does the heavy lifting while you focus on actual strategy. The script uses `list_users` to iterate through the company directory. For each profile, it fires `get_stats` to check assessment scores. Anyone falling behind gets an automated Slack ping reminding them to finish their modules.

Setup guide

Set up 360Learning 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 360Learning 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: "360learning-mcp-client",
  servers: {
    "360learning-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "360Learning Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to 360Learning tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent 360Learning 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 360Learning. 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.

Why Choose Vinkius

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Common questions about 360Learning MCP in Mastra AI

Install @mastra/mcp@latest and initialize a new MCPClient. Call mcpClient.listTools() and spread the results into your Agent's tool array.

You can enable the requireToolApproval flag on specific actions. This pauses the workflow before creating a user account until an admin clicks approve.

That is exactly what the engine does best. Pull the user stats, evaluate the score, and route them to remedial training if they failed the assessment.

The built-in retry logic catches the timeout and attempts the connection again later. You avoid writing custom error handling for temporary network blips.

Vinkius isolates every tool call in an ephemeral environment. First and last names pass through a zero-trust tunnel directly to the platform. No data lingers in our infrastructure after the execution finishes.

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