Bring Online Courses
to Mastra AI
Learn how to connect Knorish to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Knorish MCP Server?
Connect your Knorish account to any AI agent and manage your online course business through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Knorish App ID and App Key
- Start managing courses from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Course Creators — manage courses and track student progress
- Educators — monitor enrollments and completion rates
- EdTech Businesses — analyze sales and optimize course offerings
Built-in capabilities (12)
Create a new user
Create a new webhook
Enroll a user in a course
Get academy account details
Get course details
Get student progress
Get user details
List course bundles
List all courses
List all users
List webhooks
Unenroll a user from a course
Why Mastra AI?
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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Knorish without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Knorish tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Knorish in Mastra AI
Knorish and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Knorish to Mastra AI 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 | 4,000+ 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 Knorish in Mastra AI
The Knorish 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 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
Knorish for Mastra AI
Every tool call from Mastra AI to the Knorish MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track student progress and completion rates?
Yes. Browse all students with course progress percentages, lesson completion, time spent, and engagement metrics. Track completion certificates.
Does Knorish require two credentials?
Yes. Knorish requires an App ID and App Key pair for authentication against api.knorish.com/v1.
Can I monitor sales and enrollment analytics?
Yes. Track total revenue, order counts, conversion rates, enrollment trends, and refund rates across all courses.
How does Mastra AI connect to MCP servers?
Create an 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?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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