How to Use the Moodle MCP in Mastra AI

Q: Does Mastra AI support human-in-the-loop for Moodle messages?

Yes, enable requireToolApproval for sendmessage. This forces the agent to pause until you review and approve the drafted student notification.

Build resilient Moodle workflows in Mastra AI with automatic retries and conditional branching for academic tasks.

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Connect Moodle MCP to Mastra AI

Create your Vinkius account to connect Moodle 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 Moodle with Mastra AI

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Automated Course Management Workflows

Use `get_courses` and `get_course_quizzes` to build conditional logic in your agents. If a quiz is missing, Mastra can trigger a follow-up task automatically. Define your workflow steps to handle API failures with built-in retries. This ensures your agent maintains state even when the Moodle instance is under heavy load.

Conditional Student Intervention Logic

Trigger `send_message` based on data retrieved from `get_course_completion`. Your Mastra agent evaluates student status and decides whether to intervene. This keeps your communication logic centralized. You define the thresholds, and the agent executes the message only when specific academic conditions are met.

Reliable Academic Data Retrieval

Execute `get_course_workshops` and `get_course_assignments` within your agent workflows. Mastra tracks every step, providing logs for every tool execution. You avoid manual data entry by letting the agent sync Moodle records with your internal databases. The workflow engine keeps everything running on schedule.

Setup guide

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

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

const result = await agent.generate(
  "List recent Moodle 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 Moodle. 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 Moodle MCP in Mastra AI

Mastra AI provides automatic retries with exponential backoff. If a Moodle tool call fails, the agent will attempt to execute it again based on your defined policy.

Absolutely. You can branch your workflow based on the output of `get_course_grades`. If a student falls below a grade, the agent can branch to a specific alert path.

Yes, enable `requireToolApproval` for `send_message`. This forces the agent to pause until you review and approve the drafted student notification.

Your Moodle data is processed in memory by your agent. No sensitive student info is stored in the MCP transport layer, keeping your institutional records isolated.

Mastra logs every tool call. You can inspect the execution history to see exactly what data was retrieved from the Moodle API during each agent run.

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