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Moodle MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Moodle 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({
        "moodle": {
            "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 Moodle, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Moodle
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* 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 Moodle MCP Server

Connect your Moodle LMS account to your AI agent and streamline your educational and course management workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Moodle through native MCP adapters. Connect 10 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 Management — List all courses available to your web service user and view high-level details.
  • User & Enrollment Oversight — Search for students or teachers and list all users enrolled in a specific course.
  • Activity Tracking — Access all quiz, assignment, and workshop activities within your courses.
  • Progress Monitoring — Check course completion status for individual users and retrieve detailed gradebook data.
  • Group Tracking — View all user groups defined within your courses.
  • Direct Messaging — Send instant messages to any Moodle user ID directly from your chat.

The Moodle MCP Server exposes 10 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 Moodle to LangChain via MCP

Follow these steps to integrate the Moodle 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 10 tools from Moodle via MCP

Why Use LangChain with the Moodle MCP Server

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

01

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

Moodle + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Moodle MCP Tools for LangChain (10)

These 10 tools become available when you connect Moodle to LangChain via MCP:

01

get_course_assignments

List assignments in courses

02

get_course_completion

Get course completion status

03

get_course_grades

Get course grades

04

get_course_groups

List groups in a course

05

get_course_quizzes

List quizzes in courses

06

get_course_workshops

List workshops in courses

07

get_courses

List Moodle courses

08

get_enrolled_users

List users in a course

09

get_users

Search for Moodle users

10

send_message

Send an instant message

Example Prompts for Moodle in LangChain

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

01

"List all my available Moodle courses."

02

"What are the grades for students in course ID 5?"

03

"Check if user 'John Doe' (ID: 123) has finished the 'Cybersecurity' course (ID: 8)."

Troubleshooting Moodle MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Moodle + LangChain FAQ

Common questions about integrating Moodle 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 Moodle to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.