How to Use the AcademyOfMine MCP in LangChain

Q: Can my LangChain agent enroll students in AcademyOfMine?

Yes. The agent pulls the learner's ID with getuserdetails and passes it to enrollstudent. You just tell it which class they need.

Build multi-step LMS workflows by connecting AcademyOfMine to your LangChain agents.

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Connect AcademyOfMine MCP to LangChain

Create your Vinkius account to connect AcademyOfMine to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AcademyOfMine with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build LMS pipelines with the MCP Server

Your ReAct agents need to manage actual student data. You drop this MCP Server into your setup and suddenly LangChain can pull the full catalog using `list_courses`. If a specific class needs attention, the agent grabs the exact syllabus via `get_course_curriculum`. Everything strings together. The output from `get_user_details` feeds directly into an `enroll_student` call without you writing glue code. LangSmith tracks every tool invocation so you know exactly how many tokens went into managing your academy.

Automate student registration

Stop doing manual data entry for new signups. Your chain triggers `create_user` when a payment clears in Stripe. The system immediately follows up by dropping that new learner into their required modules. Mistakes happen, so the agent fixes them too. It runs `unenroll_student` if someone requests a refund. You define the logic, and LangChain executes the exact sequence of API calls.

Draft and deploy course updates

Content goes stale fast. You can wire up a chain that reads a Google Doc, formats it, and pushes it live using `update_course`. No human needs to click around the LMS dashboard. If you are launching something entirely new, the agent handles that from scratch. It fires `create_course` with the generated syllabus and then tweaks the visibility based on what `get_portal_settings` returns.

Setup guide

Set up AcademyOfMine MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes AcademyOfMine tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "academyofmine-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent AcademyOfMine transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AcademyOfMine. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AcademyOfMine MCP in LangChain

Use the MultiServerMCPClient with your endpoint URL. Call client.get_tools() and pass the array directly to your ReAct agent.

Yes. The agent pulls the learner's ID with get_user_details and passes it to enroll_student. You just tell it which class they need.

It logs everything. You will see the exact inputs and outputs for calls like list_courses right in your LangSmith dashboard.

LangChain is stateless by default. You need to use client.session() to keep the LMS portal context active between tool calls.

Vinkius runs the MCP Server in an ephemeral V8 Isolate sandbox. Learner emails, course progress, and curriculum structures stay within the zero-trust environment and disappear the second the session ends.

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