Classe365 MCP Server for Mastra AIGive Mastra AI instant access to 7 tools to Create Student Profile, Get Student Details, List Academic Records, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Classe365 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Classe365 app connector for Mastra AI is a standout in the Human Resources category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"classe365": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Classe365 Agent",
instructions:
"You help users interact with Classe365 " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Classe365?"
);
console.log(result.text);
}
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 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.
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.
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.
The Classe365 MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 7 Classe365 tools available for Mastra AI
When Mastra AI connects to Classe365 through Vinkius, your AI agent gets direct access to every tool listed below — spanning student-information-system, academic-management, admissions-tracking, 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.
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
Connect Classe365 to Mastra AI via MCP
Follow these steps to wire Classe365 into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Classe365 MCP Server
Mastra AI provides unique advantages when paired with Classe365 through the Model Context Protocol.
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 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Classe365 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Classe365, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Classe365 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Classe365 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Classe365 tools alongside other MCP servers
Example Prompts for Classe365 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Classe365 immediately.
"List all active students in my school account."
"Show me the attendance record for student 'std_10293'."
"Create a student profile for 'Anna White' (anna@example.com)."
Troubleshooting Classe365 MCP Server with Mastra AI
Common issues when connecting Classe365 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClasse365 + Mastra AI FAQ
Common questions about integrating Classe365 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.