How to Use the AcademyOcean MCP in LangChain

Q: How do I pass AcademyOcean course lists into a LangChain chain?

You use the listcourses tool inside a MultiServerMCPClient setup. Your LangChain agent calls this tool to retrieve active training courses and pipes the raw array directly into your prompt context.

Q: Can a LangChain agent invite users to AcademyOcean automatically?

Yes, by using the invitelearner tool within a ReAct agent loop. The agent processes onboarding emails from your database and executes the invitation tool as a step in the chain.

Q: How does LangSmith trace AcademyOcean tool calls?

Every execution of getlearnerprogress or other tools goes through the LangChain MCP adapter. LangSmith logs the inputs, outputs, and latency of these specific tool runs automatically.

Run automated onboarding and track corporate training progress directly inside your LangChain reasoning loops.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AcademyOcean MCP to LangChain

Create your Vinkius account to connect AcademyOcean 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.

GDPR Free for Subscribers

Setup AcademyOcean with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate learner invitations in LangChain chains

The `invite_learner` tool lets your agent add new team members to AcademyOcean courses during any step of your LangChain run. You pass the email and course ID, and the agent triggers the invitation without manual API calls. By linking this to LangGraph state, you trigger invitations automatically when a new employee record updates. Every invitation event streams through the MCP connection directly into LangSmith so you can trace latency and token usage in real time.

Build ReAct loops for progress checks

The `get_learner_progress` tool fetches real-time completion percentages and quiz scores for any registered student. Your agent reads this data to decide whether to send a reminder or unlock the next module. LangChain agents evaluate these metrics dynamically. If a learner stalls at fifty percent, the chain branches to generate a targeted nudge email based on the exact course data.

Sync training paths via LangChain MCP Server tools

The `list_courses` and `list_learners` tools expose your entire AcademyOcean library and student roster to your reasoning chain. Your agent compares these lists to find gaps in team compliance training. This setup eliminates hardcoded sync scripts. The chain queries the active courses, matches them against current learners, and maps out missing assignments in a single execution pass.

Setup guide

Set up AcademyOcean 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 AcademyOcean 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({
    "academyocean-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 AcademyOcean transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AcademyOcean. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AcademyOcean now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AcademyOcean MCP in LangChain

You use the `list_courses` tool inside a `MultiServerMCPClient` setup. Your LangChain agent calls this tool to retrieve active training courses and pipes the raw array directly into your prompt context.

Yes, by using the `invite_learner` tool within a ReAct agent loop. The agent processes onboarding emails from your database and executes the invitation tool as a step in the chain.

Every execution of `get_learner_progress` or other tools goes through the LangChain MCP adapter. LangSmith logs the inputs, outputs, and latency of these specific tool runs automatically.

No. Vinkius manages the authentication token for the AcademyOcean MCP server at the transport layer. Your LangChain code only needs the single endpoint URL to access all four tools.

Yes. Learner emails and progress metrics remain inside the Vinkius V8 sandbox during transit. No training data or personal identifiers are stored on our servers; they pass straight to your LangChain runtime.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript