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Knorish MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create User, Create Webhook, Enroll User, and more

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

Ask AI about this MCP Server for Vercel AI SDK

The Knorish MCP Server for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Knorish, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Knorish
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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 Knorish MCP Server

Connect your Knorish account to any AI agent and manage your online course business through natural conversation.

The Vercel AI SDK gives every Knorish tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Course Management — List courses, inspect curricula, and track enrollment numbers
  • Student Tracking — Browse students with progress, completion rates, and engagement
  • Enrollment Monitoring — Track new enrollments, active students, and drop-offs
  • Content Browsing — Navigate course modules, lessons, and media content
  • Sales Analytics — Monitor revenue, orders, and conversion metrics
  • Certificate Management — Track certificate issuance and completion records

The Knorish MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Knorish tools available for Vercel AI SDK

When Vercel AI SDK connects to Knorish through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, lms, student-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create user on Knorish

Create a new user

create

Create webhook on Knorish

Create a new webhook

enroll

Enroll user on Knorish

Enroll a user in a course

get

Get account info on Knorish

Get academy account details

get

Get course on Knorish

Get course details

get

Get student progress on Knorish

Get student progress

get

Get user on Knorish

Get user details

list

List bundles on Knorish

List course bundles

list

List courses on Knorish

List all courses

list

List users on Knorish

List all users

list

List webhooks on Knorish

List webhooks

unenroll

Unenroll user on Knorish

Unenroll a user from a course

Connect Knorish to Vercel AI SDK via MCP

Follow these steps to wire Knorish into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 12 tools from Knorish and passes them to the LLM

Why Use Vercel AI SDK with the Knorish MCP Server

Vercel AI SDK provides unique advantages when paired with Knorish 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 Knorish integration everywhere

03

Built-in streaming UI primitives let you display Knorish 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

Knorish + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Knorish in Vercel AI SDK

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

01

"Show all courses with enrollment numbers and the top-performing course."

02

"Show student progress for the Digital Marketing course and recent enrollments."

03

"Show the curriculum of the Python course and sales for this month."

Troubleshooting Knorish MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Knorish + Vercel AI SDK FAQ

Common questions about integrating Knorish 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.

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