Bring Online Courses
to Vercel AI SDK
Learn how to connect MSAAQ to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the MSAAQ MCP Server?
Empower your AI agent with access to the MSAAQ Learning Management System (LMS) to automate your educational workflows and student management.
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.
How it works
1. Subscribe to this server
2. Enter your MSAAQ Access Token from your dashboard
3. Start managing your LMS platform from Claude, Cursor, or any MCP client
Who is this for?
- Education Administrators — Quickly enroll students and check course stats via natural language.
- Content Creators — Monitor student engagement and manage course metadata efficiently.
- Learners & Students — Check personal enrollments and access earned certificates without leaving your workspace.
Built-in capabilities (12)
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
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MSAAQ integration everywhere
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Built-in streaming UI primitives let you display MSAAQ tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
MSAAQ in Vercel AI SDK
MSAAQ and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect MSAAQ to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for MSAAQ in Vercel AI SDK
The MSAAQ 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
MSAAQ for Vercel AI SDK
Every tool call from Vercel AI SDK to the MSAAQ MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get an Access Token for MSAAQ?
Log in to your MSAAQ dashboard and navigate to the API or Developer portal section to generate your unique OAuth2 access token.
Can the agent enroll students into courses?
Yes, using the enroll_student_in_course tool, the agent can manually register students into specific courses.
Is it possible to verify certificates?
Absolutely. The verify_issued_certificate tool allows the agent to check the validity of any certificate issued by the platform using its UUID.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
