Bring Online Courses
to Mastra AI
Learn how to connect MSAAQ to Mastra AI 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and MSAAQ tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MSAAQ without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every MSAAQ tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
MSAAQ in Mastra AI
MSAAQ and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect MSAAQ to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp