Moodle MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Moodle MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Moodle tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Moodle, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Moodle tools with web scrapers, databases, and calculators in a single agent run
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:
get_course_assignments
List assignments in courses
get_course_completion
Get course completion status
get_course_grades
Get course grades
get_course_groups
List groups in a course
get_course_quizzes
List quizzes in courses
get_course_workshops
List workshops in courses
get_courses
List Moodle courses
get_enrolled_users
List users in a course
get_users
Search for Moodle users
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.
"List all my available Moodle courses."
"What are the grades for students in course ID 5?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMoodle + LangChain FAQ
Common questions about integrating Moodle MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Moodle with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moodle to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
