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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Teachworks through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Teachworks app connector for Vercel AI 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

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Teachworks, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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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 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.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Teachworks and passes them to the LLM

Why Use Vercel AI SDK with the Teachworks MCP Server

Vercel AI SDK provides unique advantages when paired with Teachworks through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Teachworks integration everywhere

03

Built-in streaming UI primitives let you display Teachworks tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Teachworks + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Teachworks MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Teachworks in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Teachworks tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Teachworks capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Teachworks through natural language queries

Example Prompts for Teachworks in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Teachworks immediately.

01

"List all active students in my Teachworks account."

02

"Show me the teaching schedule for this week."

03

"Create a new student record for 'Mike Ross' (mike@example.com)."

Troubleshooting Teachworks MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Teachworks + Vercel AI SDK FAQ

Common questions about integrating Teachworks MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.