How to Use the Moodle MCP in LangChain

Q: Can a LangChain agent send automated messages to Moodle students?

Yes, the agent can call sendmessage based on grading data it gets from other tools. You can build a chain that checks grades and messages students who missed deadlines, tracking the whole execution in LangSmith.

Build multi-step learning workflows where your LangChain agent reads grade books and messages struggling students.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Moodle MCP to LangChain

Create your Vinkius account to connect Moodle 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 Moodle with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Target at-risk students with LangChain chains

`get_course_grades` serves as the starting point for your agent to analyze performance across active classes. The tool retrieves raw score metrics directly from the gradebook, letting your LangChain chain evaluate which students are falling below the passing threshold. Once identified, the agent passes those student IDs to `send_message` to dispatch targeted warnings. You get full visibility into this multi-step process via LangSmith tracing, so you can inspect the exact inputs and outputs of every single API call.

Track course completions in LangChain runs

`get_course_completion` exposes the completion status of enrolled students so your agent can audit progress. The tool extracts completion flags and criteria, allowing your agent to map out who has finished their required modules. Your chain can feed this data directly into downstream analysis steps to flag inactive users. Because LangChain supports multi-server aggregation, you can combine these Moodle insights with database lookups in a single run.

Map course timelines using this MCP Server

This MCP Server exposes `get_course_assignments` and `get_course_quizzes` to let your agent map out upcoming deadlines. These tools pull assignment lists and quiz parameters directly from active courses. Your agent can build a sequential timeline of course requirements to identify bottleneck weeks. By linking these tools inside a ReAct agent, the system dynamically decides when to fetch assignments versus when to check quizzes based on current student queries.

Setup guide

Set up Moodle 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 Moodle 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({
    "moodle-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 Moodle 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 Moodle. 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 Moodle 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 Moodle MCP in LangChain

You should use LangChain's built-in rate-limiting wrappers around the MCP client. This keeps your calls to `get_courses` and `get_users` from hitting the ceiling during heavy grading periods.

Yes, the agent can call `send_message` based on grading data it gets from other tools. You can build a chain that checks grades and messages students who missed deadlines, tracking the whole execution in LangSmith.

Yes, you can load the Moodle server alongside other servers using the MultiServerMCPClient. This allows your agent to fetch grades via `get_course_grades` and cross-reference them with external student databases.

You initialize the client, call the tool retrieval method, and pass the resulting list directly to your agent constructor. This exposes all ten endpoints, from `get_course_groups` to `get_enrolled_users`, instantly.

Your student grades and message contents are processed in memory within the secure Vinkius sandbox. No academic records are stored permanently on our platform, keeping your FERPA compliance intact.

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