How do I find my API Key ID and Secret?

Log in to your LearnUpon portal, navigate to Settings > API, and you will be able to generate and copy your API Key ID and Secret.

Can I search for a user by email?

Yes, use the `search_users` tool and provide the email address to retrieve the specific learner profile.

Is it possible to unenroll a user via the agent?

Absolutely. Use the `unenroll_user` tool with the unique enrollment ID to remove a user from a course.

LearnUpon MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: LearnUpon
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect LearnUpon through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "learnupon": {
            "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 LearnUpon, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with LearnUpon through native MCP adapters. Connect 9 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

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 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 LearnUpon to LangChain via MCP

Follow these steps to integrate the LearnUpon 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 9 tools from LearnUpon via MCP

Why Use LangChain with the LearnUpon MCP Server

LangChain provides unique advantages when paired with LearnUpon through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine LearnUpon 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 LearnUpon queries for multi-turn workflows

LearnUpon + LangChain Use Cases

Practical scenarios where LangChain combined with the LearnUpon MCP Server delivers measurable value.

RAG with live data: combine LearnUpon tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query LearnUpon, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain LearnUpon tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every LearnUpon tool call, measure latency, and optimize your agent's performance

LearnUpon MCP Tools for LangChain (9)

These 9 tools become available when you connect LearnUpon to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting LearnUpon to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

LearnUpon + LangChain FAQ

Common questions about integrating LearnUpon MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.