Knorish MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create User, Create Webhook, Enroll User, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Knorish through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Knorish MCP Server for OpenAI Agents 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 asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Knorish Assistant",
instructions=(
"You help users interact with Knorish. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Knorish"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 12 tools from Knorish through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Knorish, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK
When OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to wire Knorish into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Knorish MCP Server
OpenAI Agents SDK provides unique advantages when paired with Knorish through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Knorish + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Knorish MCP Server delivers measurable value.
Automated workflows: build agents that query Knorish, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Knorish, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Knorish tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Knorish to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Knorish in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Knorish to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Knorish + OpenAI Agents SDK FAQ
Common questions about integrating Knorish MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Explore More MCP Servers
View all →
Illumidesk
10 toolsManage campuses, courses, and users via Illumidesk LMS API.

Mailtrap
12 toolsTest, debug, and preview emails in a sandbox before sending to production with analytics that catch rendering issues early.

Factorial
12 toolsManage HR operations via Factorial — list employees and teams, track leave requests, monitor shifts and payslips, and handle company documents directly from any AI agent.

Eventbrite Alternative
8 toolsManage your Eventbrite events — audit organizations, attendees, and orders via AI.
