Teachworks MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Create Student, Get Student, List Families, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Teachworks 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 Teachworks app connector for Mastra AI is a standout in the Calendar Scheduling category — giving your AI agent 6 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: {
"teachworks": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Teachworks Agent",
instructions:
"You help users interact with Teachworks " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Teachworks?"
);
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 Teachworks MCP Server
Connect your Teachworks tutoring management account to any AI agent and simplify how you coordinate your education business, student directory, and lesson scheduling through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Teachworks tool infrastructure. Connect 6 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 Management — List all enrolled students, create new student profiles, and retrieve detailed academic metadata.
- Teacher Coordination — Query your directory of tutors and teachers to manage staff assignments and availability.
- Lesson Scheduling — List all scheduled lessons and classes to monitor your academy's teaching calendar.
- Family Oversight — List and manage customer families to maintain organized billing and contact records.
- Profile Insights — Fetch detailed profile information for individual students using their unique IDs.
- Operational Monitoring — Check your education ecosystem status and teacher distributions directly from the agent.
The Teachworks MCP Server exposes 6 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 6 Teachworks tools available for Mastra AI
When Mastra AI connects to Teachworks through Vinkius, your AI agent gets direct access to every tool listed below — spanning tutoring-management, lesson-scheduling, student-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 student details
List families
List scheduled lessons
List all students in Teachworks
List all teachers (tutors)
Connect Teachworks to Mastra AI via MCP
Follow these steps to wire Teachworks 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 Teachworks MCP Server
Mastra AI provides unique advantages when paired with Teachworks through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Teachworks 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 Teachworks 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
Teachworks + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Teachworks MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Teachworks, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Teachworks as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Teachworks on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Teachworks tools alongside other MCP servers
Example Prompts for Teachworks in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Teachworks immediately.
"List all active students in my Teachworks account."
"Show me the teaching schedule for this week."
"Create a new student record for 'Mike Ross' (mike@example.com)."
Troubleshooting Teachworks MCP Server with Mastra AI
Common issues when connecting Teachworks to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTeachworks + Mastra AI FAQ
Common questions about integrating Teachworks 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.