Knorish MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create User, Create Webhook, Enroll User, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Knorish through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Knorish MCP Server for Mastra AI 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
Geminiimport { 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: {
"knorish": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Knorish Agent",
instructions:
"You help users interact with Knorish " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Knorish?"
);
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 Knorish MCP Server
Connect your Knorish account to any AI agent and manage your online course business through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Knorish tool infrastructure. Connect 12 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
- 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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Knorish into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind 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 Knorish MCP Server
Mastra AI provides unique advantages when paired with Knorish through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Knorish 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 Knorish 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
Knorish + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Knorish MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Knorish, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Knorish as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Knorish on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Knorish tools alongside other MCP servers
Example Prompts for Knorish in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Knorish to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKnorish + Mastra AI FAQ
Common questions about integrating Knorish 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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