LearnUpon MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LearnUpon 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
Vinkius supports streamable HTTP and SSE.
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="LearnUpon Assistant",
instructions=(
"You help users interact with LearnUpon. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LearnUpon"
)
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 LearnUpon MCP Server
Connect your LearnUpon portal to any AI agent to automate your learning management operations. This MCP server enables your agent to interact with learner accounts, course catalogs, and enrollment data directly.
The OpenAI Agents SDK auto-discovers all 9 tools from LearnUpon through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LearnUpon, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Learner Management — List and search for users, and automate the creation or updating of learner profiles
- Course Discovery — Query your entire course library and search for specific training content by name
- Enrollment Automation — Manage user enrollments, link learners to courses, and handle unenrolling when needed
- Progress Tracking — Monitor enrollment statuses and identify learner participation across your portal
- Bulk Operations Support — Retrieve paginated lists of data to maintain large-scale learning environments
The LearnUpon MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect LearnUpon to OpenAI Agents SDK via MCP
Follow these steps to integrate the LearnUpon MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from LearnUpon
Why Use OpenAI Agents SDK with the LearnUpon MCP Server
OpenAI Agents SDK provides unique advantages when paired with LearnUpon 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
LearnUpon + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LearnUpon MCP Server delivers measurable value.
Automated workflows: build agents that query LearnUpon, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries LearnUpon, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LearnUpon tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LearnUpon to resolve tickets, look up records, and update statuses without human intervention
LearnUpon MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect LearnUpon to OpenAI Agents SDK via MCP:
create_user
Requires email/username, password, and name. Create a new learner account
enroll_user_in_course
Requires course_id and user identification. Enroll a user into a specific course
list_courses
List all available courses
list_enrollments
List all course enrollments
list_users
Use this to identify user IDs for enrollment or updates. List all learner accounts
search_courses
Search for courses by name
search_users
Search for users by email or username
unenroll_user
Remove a user enrollment from a course
update_user
Update an existing user account
Example Prompts for LearnUpon in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LearnUpon immediately.
"Find the user with email 'learner@example.com' in LearnUpon."
"Search for courses related to 'Cybersecurity'."
"Enroll user ID '12345' into course ID '101'."
Troubleshooting LearnUpon MCP Server with OpenAI Agents SDK
Common issues when connecting LearnUpon to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LearnUpon + OpenAI Agents SDK FAQ
Common questions about integrating LearnUpon 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?
Connect LearnUpon with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LearnUpon to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.