360Learning MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect 360Learning through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"360learning": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using 360Learning, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with 360Learning through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the 360Learning MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from 360Learning via MCP
Why Use LangChain with the 360Learning MCP Server
LangChain provides unique advantages when paired with 360Learning through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine 360Learning MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across 360Learning queries for multi-turn workflows
360Learning + LangChain Use Cases
Practical scenarios where LangChain combined with the 360Learning MCP Server delivers measurable value.
RAG with live data: combine 360Learning tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query 360Learning, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain 360Learning tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every 360Learning tool call, measure latency, and optimize your agent's performance
360Learning MCP Tools for LangChain (6)
These 6 tools become available when you connect 360Learning to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting 360Learning to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adapters360Learning + LangChain FAQ
Common questions about integrating 360Learning MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.