LearnWorlds MCP Server for LangChainGive LangChain instant access to 8 tools to Create Student, Enroll Student, Get Course Contents, and more
LangChain is the leading Python framework for composable LLM applications. Connect LearnWorlds 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 for LangChain
The LearnWorlds MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"learnworlds": {
"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 LearnWorlds, 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 LearnWorlds MCP Server
Connect your LearnWorlds account to any AI agent and take full control of your online academy orchestration and student productivity through natural conversation. LearnWorlds provides a powerful platform for creating and selling online courses, and this integration allows you to retrieve course metadata, manage student enrollments, and monitor academic progress directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with LearnWorlds through native MCP adapters. Connect 8 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
- Course & Content Orchestration — List all managed courses and retrieve detailed module and unit metadata programmatically to ensure your learning roadmap is always synchronized.
- User & Profile Intelligence — Access and monitor student profiles and create new user accounts directly from the AI interface to maintain high-fidelity academic records.
- Enrollment & Access Control — Manually enroll students into specific courses or products via natural language to drive better promotional efficiency and class coordination.
- Payment & Subscription Oversight — List and oversee recent payments and retrieve detailed transaction metadata using simple AI commands to track your academy's revenue health.
- Operational Monitoring — Track system responses and manage webhook metadata to ensure your LMS workflows are always optimized.
The LearnWorlds MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 LearnWorlds tools available for LangChain
When LangChain connects to LearnWorlds through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-courses, white-label-lms, course-sales, 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 student on LearnWorlds
Create a new student
Enroll student on LearnWorlds
Enroll a student in a product
Get course contents on LearnWorlds
Get course contents
Get student details on LearnWorlds
Get student details
List courses on LearnWorlds
List all courses
List payments on LearnWorlds
List all payments
List students on LearnWorlds
List all students
List subscriptions on LearnWorlds
List all student subscriptions
Connect LearnWorlds to LangChain via MCP
Follow these steps to wire LearnWorlds into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the LearnWorlds MCP Server
LangChain provides unique advantages when paired with LearnWorlds through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine LearnWorlds 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 LearnWorlds queries for multi-turn workflows
LearnWorlds + LangChain Use Cases
Practical scenarios where LangChain combined with the LearnWorlds MCP Server delivers measurable value.
RAG with live data: combine LearnWorlds tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query LearnWorlds, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain LearnWorlds tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every LearnWorlds tool call, measure latency, and optimize your agent's performance
Example Prompts for LearnWorlds in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with LearnWorlds immediately.
"Show all courses with enrollment counts and the latest student activity."
"Show student progress and completion rates for the UX Design Course."
"Show new enrollments this week and school analytics."
Troubleshooting LearnWorlds MCP Server with LangChain
Common issues when connecting LearnWorlds to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLearnWorlds + LangChain FAQ
Common questions about integrating LearnWorlds 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?
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