Bring Lms
to Vercel AI SDK
Learn how to connect Thinkific to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Thinkific API Key and Subdomain (found in your account settings)
3. Start managing your online academy from Claude, Cursor, or any MCP client
Who is this for?
- Course Creators & Educators — quickly retrieve student lists and check course metadata via simple AI commands.
- Customer Support Teams — enroll students manually and verify order history directly from the workspace.
- Academy Administrators — monitor enrollment growth and manage user profiles via the AI assistant.
Built-in capabilities (10)
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
Why Vercel AI SDK?
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.
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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 Thinkific integration everywhere
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Built-in streaming UI primitives let you display Thinkific 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
Thinkific in Vercel AI SDK
Thinkific and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Thinkific 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 Thinkific in Vercel AI SDK
The Thinkific 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 10 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
Thinkific for Vercel AI SDK
Every tool call from Vercel AI SDK to the Thinkific MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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
