Can I manually enroll a student in a course using the AI?

Yes! Use the `enroll_user` tool. Provide the User ID and the Course ID to instantly create a new enrollment for that student in your Thinkific academy.

How do I see the full list of registered students?

Run the `list_users` query. You can optionally use the `page` and `limit` parameters to navigate through your entire student directory.

Is it possible to check recent revenue or orders via AI?

Absolutely. Use the `list_orders` query. Your agent will retrieve the history of all transactions and orders processed through your Thinkific site.

INSTANT PLUG AND PLAY

Thinkific MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create User, Enroll User, Get Course, and more

Name: Thinkific
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Thinkific app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 Thinkific, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Thinkific MCP Server

Connect your Thinkific LMS account to any AI agent and simplify how you manage your student directory, course catalog, and enrollment workflows through natural conversation.

The Vercel AI SDK gives every Thinkific tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 registered users, create new student profiles, and retrieve detailed metadata for individual accounts.
Course Oversight — List all courses, bundles, and products, and fetch detailed configurations for specific learning materials.
Enrollment Automation — Programmatically enroll students in specific courses or bundles with optional expiry dates via AI.
Order Tracking — Monitor your site's commercial performance by listing orders and transaction history.
Content Organization — Query course categories and products to understand your learning ecosystem's structure.
Operational Maintenance — Verify student data and course availability directly from your workspace.

The Thinkific MCP Server exposes 10 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 10 Thinkific tools available for Vercel AI SDK

When Vercel AI SDK connects to Thinkific through Vinkius, your AI agent gets direct access to every tool listed below — spanning lms, e-learning, online-courses, 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_user

Requires email, first name, and last name. Create a new user

enroll_user

Enroll a user in a product

get_course

Get details for a specific course

get_user

Get details for a specific user

list_categories

List course categories

list_courses

List all courses

list_enrollments

List user enrollments

list_orders

List site orders

list_products

List all products (Courses and Bundles)

list_users

List Thinkific users

Connect Thinkific to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 10 tools from Thinkific and passes them to the LLM

Why Use Vercel AI SDK with the Thinkific MCP Server

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

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

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

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

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

Thinkific + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for Thinkific in Vercel AI SDK

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

"List all active courses in my Thinkific academy."

"Show me the details for student 'John Doe' (ID: user_10293)."

"Enroll user 'user_8823' into course 'course_5521' and set it to expire in 30 days."

Troubleshooting Thinkific MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Thinkific + Vercel AI SDK FAQ

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

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.