Compatible with every major AI agent and IDE
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 Pydantic AI?
Pydantic AI validates every Knorish tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Knorish integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Knorish connection logic from agent behavior for testable, maintainable code
Knorish in Pydantic AI
Knorish and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Knorish to Pydantic 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 Pydantic 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 Pydantic 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 Pydantic AI
Every tool call from Pydantic 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Knorish MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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