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How to Use the Illumidesk MCP in Mastra AI

Build self-healing LMS workflows by connecting Mastra AI to the Illumidesk MCP Server.

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Mastra AI

Connect Illumidesk MCP to Mastra AI

Create your Vinkius account to connect Illumidesk 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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Self-healing LTI credential provisioning

The `list_lti_credentials` tool lets your Mastra AI agent inspect current keys and verify setup parameters without manual intervention. When an LTI handshake fails, the agent can automatically diagnose the issue. If a key is misconfigured, the Mastra AI workflow engine branches to fetch current deployments via `list_lti_deployments`. It runs automatic retries with exponential backoff until the security handshake resolves.

Campus activity auditing via Mastra AI

The `list_campuses` tool lets you monitor system health across multiple departments using Mastra workflows. The agent finds active nodes, then loops through each to pull operational data. It calls `get_activity_logs` for each target campus. If it detects a critical error pattern, the Mastra AI workflow branches to notify your IT staff with the exact error details. Connect this MCP Server to build automated loops.

Multi-step course enrollment syncing

The `list_courses` tool enables complex enrollment routines inside Mastra AI that handle API rate limits gracefully. Your Mastra agent calls the endpoint to find target classes, then pulls the student roster. By using `list_users` and `list_memberships` in a structured Mastra AI workflow, the agent flags mismatched profiles. It retries failed syncs automatically before logging the final status.

Setup guide

Set up Illumidesk 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

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

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

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

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

Install `@mastra/mcp` and instantiate the client with the Vinkius server URL. Call `mcpClient.listTools()` and spread the returned tools directly into your agent's tool configuration array. Mastra handles the underlying transport protocol automatically.
Yes, you can build a workflow that triggers when an LTI setup fails. The agent uses `list_lti_deployments` to check for mismatches and compares them against active credentials. The workflow engine then manages the retry logic automatically.
You can use Mastra's built-in tool approval feature. When the agent attempts to inspect campus settings using `get_campus`, the system pauses. It waits for an administrator to approve the action before executing the tool.
You can deploy your Mastra agent to any cloud provider with a single command. The agent connects to the hosted MCP Server on Vinkius using a secure HTTP or SSE transport, meaning you do not have to manage local server processes.
Your activity logs and administrative records are isolated within ephemeral V8 sandboxes. The server only accesses raw logs when the agent invokes `get_activity_logs`. All API communication is encrypted, and no sensitive campus configurations are cached or stored on this MCP setup.

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