Bring Tutoring Management
to OpenAI Agents SDK
Learn how to connect Teachworks to OpenAI Agents SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Teachworks API Token (found in your account settings)
3. Start managing your tutoring business from Claude, Cursor, or any MCP client
Who is this for?
- Tutoring Business Owners — quickly retrieve student lists and monitor teaching schedules via simple AI commands.
- Academy Administrators — coordinate teacher availability and manage family records directly from the workspace.
- Education Coordinators — verify student details and verify lesson assignments via the AI assistant.
Built-in capabilities (6)
Add a new student
Get student details
List families
List scheduled lessons
List all students in Teachworks
List all teachers (tutors)
Why OpenAI Agents SDK?
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.
- —
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 in OpenAI Agents SDK
Teachworks and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Teachworks to OpenAI Agents SDK 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 Teachworks in OpenAI Agents SDK
The Teachworks 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 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK 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
Teachworks for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Teachworks MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.