Moodle MCP Server for LangChainGive LangChain instant access to 12 tools to Create Courses, Create Users, Enrol Users, and more
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 App Connector for LangChain
The Moodle app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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-alternative": {
"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 instance to any AI agent and manage your learning platform through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Moodle through native MCP adapters. Connect 12 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
- Courses — List, create, and browse course content sections
- Users — Search, create, and manage learner profiles
- Enrolment — Enrol users into courses and view enrolled learners
- Grades — Retrieve grade items and student results per course
- Assignments — List assignments for specific courses
- Categories — Browse course organization categories
- Files — Access files attached to course modules
- Site Info — Retrieve Moodle instance metadata
The Moodle MCP Server exposes 12 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.
All 12 Moodle tools available for LangChain
When LangChain connects to Moodle through Vinkius, your AI agent gets direct access to every tool listed below — spanning e-learning, course-management, student-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires fullname, shortname, and categoryid. Create new courses
Requires username, password, firstname, lastname, and email. Create new users in Moodle
Enrol users into a course
Get contents of a specific course
Get users enrolled in a course
Get Moodle site information
Get grades for a user in a course
List assignments for courses
List course categories
List all available courses
List files in a specific area
g., username, email) and value. Search for users in Moodle
Connect Moodle to LangChain via MCP
Follow these steps to wire Moodle into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
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
Example Prompts for Moodle in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Moodle immediately.
"List all courses and show enrolment counts."
"Get grades for student ID 42 in the Python course."
"Create a new course 'AI Ethics' in category 1 and enrol 3 students."
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.