Knorish MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create User, Create Webhook, Enroll User, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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 user on Knorish
Create a new user
Create webhook on Knorish
Create a new webhook
Enroll user on Knorish
Enroll a user in a course
Get account info on Knorish
Get academy account details
Get course on Knorish
Get course details
Get student progress on Knorish
Get student progress
Get user on Knorish
Get user details
List bundles on Knorish
List course bundles
List courses on Knorish
List all courses
List users on Knorish
List all users
List webhooks on Knorish
List webhooks
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
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 Knorish integration everywhere
Built-in streaming UI primitives let you display Knorish 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
Knorish + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Knorish MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Knorish in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Knorish tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Knorish capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"Show all courses with enrollment numbers and the top-performing course."
"Show student progress for the Digital Marketing course and recent enrollments."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpKnorish + Vercel AI SDK FAQ
Common questions about integrating Knorish MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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