Can I see all the lessons scheduled for my academy via AI?

Yes! Use the `list_lessons` tool. Your agent will retrieve the complete enseñante calendar, including scheduled times and associated students.

How do I add a new student to my directory?

Use the `create_student` action. Provide the first name, last name, and an optional email to register the new student record in Teachworks instantly.

Is it possible to see which families are registered via AI?

Absolutely. Use the `list_families` query. The agent will retrieve the directory of customer families associated with your business.

INSTANT PLUG AND PLAY

Teachworks MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Student, Get Student, List Families, and more

Name: Teachworks
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Teachworks through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Teachworks app connector for OpenAI Agents SDK 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Teachworks Assistant",
            instructions=(
                "You help users interact with Teachworks. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Teachworks"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 6 tools from Teachworks through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Teachworks, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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.

create_student

Add a new student

get_student

Get student details

list_families

List families

list_lessons

List scheduled lessons

list_students

List all students in Teachworks

list_teachers

List all teachers (tutors)

Connect Teachworks to OpenAI Agents SDK via MCP

Follow these steps to wire Teachworks into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from Teachworks

Why Use OpenAI Agents SDK with the Teachworks MCP Server

OpenAI Agents SDK provides unique advantages when paired with Teachworks through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Teachworks + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Teachworks MCP Server delivers measurable value.

Automated workflows: build agents that query Teachworks, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Teachworks, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Teachworks tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Teachworks to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Teachworks in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Teachworks to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Teachworks + OpenAI Agents SDK FAQ

Common questions about integrating Teachworks MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.