Bring Tutoring Management
to Vercel AI SDK
Learn how to connect Teachworks to Vercel AI 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 Vercel AI SDK?
The Vercel AI SDK gives every Teachworks tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Teachworks integration everywhere
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Built-in streaming UI primitives let you display Teachworks tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Teachworks in Vercel AI SDK
Teachworks and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Teachworks to Vercel AI 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 Vercel AI 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 Vercel AI 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 Vercel AI SDK
Every tool call from Vercel AI 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 Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp