Moodle MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Moodle as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Moodle. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Moodle?"
)
print(response)
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.
LlamaIndex agents combine Moodle tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Moodle MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Moodle
Why Use LlamaIndex with the Moodle MCP Server
LlamaIndex provides unique advantages when paired with Moodle through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Moodle tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Moodle tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Moodle, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Moodle tools were called, what data was returned, and how it influenced the final answer
Moodle + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Moodle MCP Server delivers measurable value.
Hybrid search: combine Moodle real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Moodle to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Moodle for fresh data
Analytical workflows: chain Moodle queries with LlamaIndex's data connectors to build multi-source analytical reports
Moodle MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Moodle to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Moodle to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMoodle + LlamaIndex FAQ
Common questions about integrating Moodle MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.