360Learning MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 360Learning 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="360Learning Assistant",
instructions=(
"You help users interact with 360Learning. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from 360Learning"
)
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 360Learning MCP Server
Empower your corporate education strategy with 360Learning, the collaborative learning platform now fully integrated with your AI agent. By connecting 360Learning via the Model Context Protocol, you transform learning management from a complex administrative task into a natural conversation. Your agent can now seamlessly provision learners, audit course completions, and retrieve real-time training statistics without you ever navigating a LMS dashboard. It’s the smartest way to scale knowledge sharing and ensure your team stays ahead of the curve.
The OpenAI Agents SDK auto-discovers all 6 tools from 360Learning through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 360Learning, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- User Management — List, create, and update learners and admins within your platform.
- Course Catalog — Browse available courses, view lesson details, and check enrollment status.
- Learning Paths — Manage structured training paths and monitor group progress across curriculum.
- Engagement Stats — Access completion rates, time spent, and assessment scores to gauge training effectiveness.
- Group Organization — List and manage departments or training cohorts for targeted learning delivery.
The 360Learning MCP Server exposes 6 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 360Learning to OpenAI Agents SDK via MCP
Follow these steps to integrate the 360Learning 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 6 tools from 360Learning
Why Use OpenAI Agents SDK with the 360Learning MCP Server
OpenAI Agents SDK provides unique advantages when paired with 360Learning 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
360Learning + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the 360Learning MCP Server delivers measurable value.
Automated workflows: build agents that query 360Learning, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries 360Learning, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through 360Learning tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query 360Learning to resolve tickets, look up records, and update statuses without human intervention
360Learning MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect 360Learning to OpenAI Agents SDK via MCP:
create_user
Requires the email, first name, and last name of the user. Register a new learner, author, or administrator account
get_course
Get technical details and the lesson overview for a specific course
get_stats
You must filter by either Group ID, User ID, or Course ID. Retrieve training completion rates and assessment scores
list_courses
Use this to find a specific Course ID to check enrollments or detailed lessons. Browse the catalog of available training courses
list_groups
Useful for finding a specific Group ID for reporting strategies. List all training groups, departments, or cohorts in the platform
list_users
Use this to find specific learner profiles. List all active learners and administrators in the 360Learning platform
Example Prompts for 360Learning in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 360Learning immediately.
"List all active users in my 360Learning platform."
"Show me the training statistics for the 'Marketing' group."
"List all available courses in the catalog."
Troubleshooting 360Learning MCP Server with OpenAI Agents SDK
Common issues when connecting 360Learning to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
360Learning + OpenAI Agents SDK FAQ
Common questions about integrating 360Learning 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 360Learning 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 360Learning to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.