MSAAQ MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Connectivity, Create New Student Account, Enroll Student In Course, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MSAAQ through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The MSAAQ app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 MSAAQ, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 MSAAQ MCP Server
Empower your AI agent with access to the MSAAQ Learning Management System (LMS) to automate your educational workflows and student management.
The Vercel AI SDK gives every MSAAQ tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Course Management (Admin) — List all courses and retrieve detailed engagement and enrollment statistics.
- Student Oversight — Manage user accounts, create new student profiles, and manually enroll students into courses.
- Learning Experience — Access available learning courses, module metadata, and monitor student progress.
- Certification Tracking — List earned certificates and verify the authenticity of issued course completions via UUID.
The MSAAQ MCP Server exposes 12 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.
All 12 MSAAQ tools available for Vercel AI SDK
When Vercel AI SDK connects to MSAAQ through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, student-enrollment, course-analytics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify MSAAQ API status
Requires name and email. Invite or create a new user
Enroll a user into a course
Get analytics for a course
Get details for a course
Get current user profile
List my enrolled courses
List all courses (Admin)
List courses for students
List all students and users
List my earned certificates
Verify a certificate authenticity
Connect MSAAQ to Vercel AI SDK via MCP
Follow these steps to wire MSAAQ into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the MSAAQ MCP Server
Vercel AI SDK provides unique advantages when paired with MSAAQ through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MSAAQ integration everywhere
Built-in streaming UI primitives let you display MSAAQ tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
MSAAQ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MSAAQ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MSAAQ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MSAAQ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MSAAQ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MSAAQ through natural language queries
Example Prompts for MSAAQ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MSAAQ immediately.
"List all active courses in my MSAAQ admin panel."
"Enroll student 'John Doe' (ID: usr_789) into the 'Advanced RAG' course."
"Show me my course completion certificates."
Troubleshooting MSAAQ MCP Server with Vercel AI SDK
Common issues when connecting MSAAQ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMSAAQ + Vercel AI SDK FAQ
Common questions about integrating MSAAQ MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.