Bring Student Information System
to Mastra AI
Learn how to connect Classe365 to Mastra AI and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Classe365 MCP Server?
Connect your Classe365 student management system to any AI agent and simplify how you coordinate your educational institution, student directory, and academic records through natural conversation.
What you can do
- Student Lifecycle — List all students, create new academic profiles, and retrieve detailed metadata for individual enrollments.
- Academic Oversight — List academic departments, sections, and classes to understand your institution's hierarchy.
- Performance Monitoring — List and query student attendance history and exam assessment scores via AI.
- School Operations — Verify configured subjects and class distributions directly from the agent.
- Data Insights — Fetch complete student metadata including contact info and course progress.
- Administrative Efficiency — Automate student registrations and record-keeping without leaving your workspace.
How it works
1. Subscribe to this server
2. Enter your Classe365 Subdomain and API Key (found in your school settings)
3. Start managing your academy from Claude, Cursor, or any MCP-compatible client
Who is this for?
- School Administrators — quickly check student enrollment data and monitor attendance via simple AI commands.
- Academic Coordinators — verify class distributions and retrieve student performance reports directly from the workspace.
- Registrar Teams — automate student record creation and verify academic metadata via the AI assistant.
Built-in capabilities (7)
Add a new student
Get details for a specific student
List academic departments and sections
List assessments and scores
List configured classes
List student attendance history
List Classe365 students
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Classe365 tool infrastructure. Connect 7 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.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Classe365 without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Classe365 tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Classe365 in Mastra AI
Classe365 and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Classe365 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 Classe365 in Mastra AI
The Classe365 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 7 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
Classe365 for Mastra AI
Every tool call from Mastra AI to the Classe365 MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check a student's attendance history via AI?
Yes! Use the list_student_attendance tool and provide the Student ID. Your agent will retrieve the complete attendance record for that student.
How do I add a new student to the SIS using the agent?
Use the create_student_profile action. Provide the first name, last name, and email to register the new student record in Classe365 instantly.
Is it possible to see exam scores via AI?
Absolutely. Use the list_exam_assessments query. The agent will retrieve a list of assessments and scores recorded in your academy's account.
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