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AcademyOfMine MCP Server for LangChain 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

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

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

asyncio.run(main())
AcademyOfMine
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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 AcademyOfMine MCP Server

Connect your AI agents to AcademyOfMine (AOM), the all-in-one platform for training and compliance. This MCP provides 11 tools to automate course management, user registration, and enrollment workflows directly from your AI agent.

LangChain's ecosystem of 500+ components combines seamlessly with AcademyOfMine through native MCP adapters. Connect 11 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 Orchestration — List, create, and update courses and their curriculum structures without leaving your agent
  • Learner Management — Register new users, retrieve detailed profile information, and manage instructor accounts
  • Enrollment Automation — Enroll or remove students from courses programmatically based on business logic
  • Portal Configuration — Access and monitor default portal settings and configurations for your LMS instance

The AcademyOfMine MCP Server exposes 11 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 AcademyOfMine to LangChain via MCP

Follow these steps to integrate the AcademyOfMine MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 11 tools from AcademyOfMine via MCP

Why Use LangChain with the AcademyOfMine MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine AcademyOfMine MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across AcademyOfMine queries for multi-turn workflows

AcademyOfMine + LangChain Use Cases

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

01

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

02

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

03

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

04

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

AcademyOfMine MCP Tools for LangChain (11)

These 11 tools become available when you connect AcademyOfMine to LangChain via MCP:

01

create_course

Create a new course profile

02

create_user

Create a new user account

03

enroll_student

Enroll a student in a course

04

get_course_curriculum

Retrieve the curriculum structure of a course

05

get_course_details

Get detailed information for a specific course

06

get_portal_settings

Retrieve LMS portal default settings

07

get_user_details

Get detailed information for a specific user

08

list_courses

List all courses available in the LMS

09

list_users

List learners and instructors in the portal

10

unenroll_student

Remove a student from a course

11

update_course

Update an existing course

Example Prompts for AcademyOfMine in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with AcademyOfMine immediately.

01

"List all active courses in my AcademyOfMine portal and show their IDs."

02

"Enroll student 'user_777' into course 'crs_101'."

03

"Show me the curriculum details for course 'crs_advanced'."

Troubleshooting AcademyOfMine MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AcademyOfMine + LangChain FAQ

Common questions about integrating AcademyOfMine MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect AcademyOfMine to LangChain

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.