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Illumidesk MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Illumidesk through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Illumidesk, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Illumidesk
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Illumidesk MCP Server

Connect your AI agents to Illumidesk, the AI-powered learning management system. This MCP server allows you to list campuses, manage courses, track user memberships, and access activity logs directly through the Illumidesk API. Ideal for automating education workflows and course management.

The Vercel AI SDK gives every Illumidesk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Illumidesk MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Illumidesk to Vercel AI SDK via MCP

Follow these steps to integrate the Illumidesk MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Illumidesk and passes them to the LLM

Why Use Vercel AI SDK with the Illumidesk MCP Server

Vercel AI SDK provides unique advantages when paired with Illumidesk through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Illumidesk integration everywhere

03

Built-in streaming UI primitives let you display Illumidesk tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Illumidesk + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Illumidesk MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Illumidesk in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Illumidesk tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Illumidesk capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Illumidesk through natural language queries

Illumidesk MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Illumidesk to Vercel AI SDK via MCP:

01

get_activity_logs

Retrieves activity logs for a specific campus

02

get_campus

Retrieves details for a specific campus

03

get_course

Retrieves details for a specific course

04

get_me

Gets current authenticated user info

05

list_campuses

Lists all campuses in Illumidesk

06

list_courses

Lists all courses within a specific campus

07

list_lti_credentials

Lists all LTI credentials for a campus

08

list_lti_deployments

Lists all LTI deployments for a campus

09

list_memberships

Lists all user memberships in a specific campus

10

list_users

Lists all users registered in a specific campus

Example Prompts for Illumidesk in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Illumidesk immediately.

01

"List all campuses in my Illumidesk account."

02

"Show me courses for campus slug 'main-campus'."

03

"Check who is enrolled in course 'ai-fundamentals'."

Troubleshooting Illumidesk MCP Server with Vercel AI SDK

Common issues when connecting Illumidesk to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Illumidesk + Vercel AI SDK FAQ

Common questions about integrating Illumidesk MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Illumidesk to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.