Thinkific MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Create User, Enroll User, Get Course, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Thinkific through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Thinkific app connector for Mastra AI 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
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"thinkific": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Thinkific Agent",
instructions:
"You help users interact with Thinkific " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Thinkific?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Thinkific tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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.
Requires email, first name, and last name. Create a new user
Enroll a user in a product
Get details for a specific course
Get details for a specific user
List course categories
List all courses
List user enrollments
List site orders
List all products (Courses and Bundles)
List Thinkific users
Connect Thinkific to Mastra AI via MCP
Follow these steps to wire Thinkific into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Thinkific MCP Server
Mastra AI provides unique advantages when paired with Thinkific through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Thinkific without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Thinkific tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Thinkific + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Thinkific MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Thinkific, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Thinkific as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Thinkific on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Thinkific tools alongside other MCP servers
Example Prompts for Thinkific in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Thinkific to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpThinkific + Mastra AI FAQ
Common questions about integrating Thinkific MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.