Moodle MCP Server Aql

Name: Moodle MCP Server Aql
Author: csmediapro

by csmediaproversion 0.1.6i★ –iRuns on your computer

Registry nameio.github.csmediapro/moodle-mcp-server-aql

Install

Overview

Description from the maker (original English)

Query Moodle LMS data through natural language. Attach your agent to your LMS data.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: MOODLE_URL, MOODLE_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MOODLE_URL, MOODLE_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "moodle-aql": {
      "command": "npx",
      "args": [
        "-y",
        "moodle-mcp-server-aql"
      ],
      "env": {
        "MOODLE_URL": "your-value",
        "MOODLE_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add moodle-aql --env MOODLE_URL=your-value --env MOODLE_TOKEN=your-value -- npx -y moodle-mcp-server-aql

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "moodle-aql": {
      "command": "npx",
      "args": [
        "-y",
        "moodle-mcp-server-aql"
      ],
      "env": {
        "MOODLE_URL": "your-value",
        "MOODLE_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "moodle-aql": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "moodle-mcp-server-aql"
      ],
      "env": {
        "MOODLE_URL": "your-value",
        "MOODLE_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MOODLE_URL required env
Base URL for the Moodle instance to query.
MOODLE_TOKEN secret required env
Moodle Web Services API token.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account csmediapro, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18431 servers in this category
Published to the registry more recently than 52% of the other 18431 servers in this category
Basic checks equal to or better than 100% of the other 18431 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Moodle MCP Server Aql safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: MOODLE_URL, MOODLE_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry 42 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust

Alternatives

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Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander

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Runs in the cloud★ 211Updated 3 days ago

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

moodle-mcp-server — AI-Powered LMS Analytics

Ask your Moodle instance anything. Get structured answers in seconds.

moodle-mcp-server is an open-source MCP (Model Context Protocol) server that connects AI agents directly to Moodle's Web Services API. It is the first reference implementation of the Agentic Query Layer (AQL) pattern — a software design pattern for giving large language models safe, permission-aware, read-only access to structured data.

Instead of learning report builders, writing SQL, or exporting CSVs, you ask questions in plain English — the AI agent queries your LMS and returns structured data.

AQL pattern: https://csmediapro.com/notes/agentic-query-layer Project home: https://csmediapro.com/products/moodle-mcp-server npm package: https://www.npmjs.com/package/moodle-mcp-server-aql MCP Registry: io.github.csmediapro/moodle-mcp-server-aql

Features

Core query tools — course catalog, user enrollment, assignments, category navigation, site metadata, user lookup, and cache management
Premium reporting plugins — optional tools such as course completion reports and recent activity can be attached through the plugin runtime
LLM-agnostic — works with Claude, GPT, Gemini, Ollama, or any MCP-compatible AI client
Zero LMS modification — uses Moodle's existing Web Services API, no plugin installation required
Compliance-ready data handling — secure, efficient data processing with privacy by design
Read-only — never modifies Moodle data, safe for production
Plugin-extensible — drop new tool modules into a directory; tools and optional agent routing hints auto-register at runtime

Quick Start

Prerequisites

Node.js 20+
A Moodle instance with Web Services enabled
A Moodle API token (Site administration → Plugins → Web services → Manage tokens)

Use With An MCP Client

Most users launch the server through an MCP client such as Claude Desktop:

"mcpServers": { "moodle-mcp-server-aql": { "command": "npx", "args": ["-y", "moodle-mcp-server-aql"], "env": { "MOODLE_URL": "https://your-moodle-instance.example", "MOODLE_TOKEN": "your-moodle-web-services-token" } } } }

Setup From Source

# Clone the repo

git clone https://github.com/csmediapro/moodle-mcp-server cd moodle-mcp-server

Install dependencies

npm install

Configure

cp packages/server/.env.example packages/server/.env

Edit .env: add your MOODLE_URL and MOODLE_TOKEN

Run (stdio mode)

npm run server:build node packages/server/dist/index.js

User field schema

User field display settings are generated per Moodle instance and stored locally at packages/server/data/user-field-schema.json. This file is intentionally ignored by git because it can include site-specific custom profile fields.

After connecting to a Moodle site, run the refresh_user_field_schema tool once to discover available standard and custom user fields. A minimal example shape is included at packages/server/data/user-field-schema.example.json.

Separately installed plugins can use this schema to flatten custom profile fields into stable keys such as school. The premium user-directory plugin, for example, uses it to cache and summarize full-user directory fields outside the OSS core.

Config identity

The core owns two different server identity fields:

server.id — stable machine identity, for example mcp_8f3k2q9x
server.name — human-facing display label

If server.id is missing, the core generates one once and persists it to the resolved config file before startup continues.

Environment overrides:

MOODLE_MCP_CONFIG or MOODLE_MCP_SERVER_CONFIG — choose the config file path
SERVER_ID — explicit server.id override
SERVER_NAME — explicit server.name override
SERVER_VERSION — explicit server.version override

If server.id is missing and the resolved config path is not writable, startup fails deliberately.

Using the reference client

# From the project root

cp packages/client/.env.example packages/client/.env npm run client:dev

Open http://localhost:3000

The client will auto-detect your Moodle instance and present a chat interface where you can ask questions in plain English.

Connecting an LLM

moodle-mcp-server needs an AI model to power the natural-language interface. You bring the model — the moodle-mcp-server core and reference client support any MCP-compatible provider.

Option 1: Run Locally (Recommended for Speed & Privacy)

Running a local model keeps all data on your own hardware — nothing leaves your network. Modern quantized models run well on consumer GPUs and even CPU-only setups.

Performance: A quantized 24B model on a single RTX 3090 delivers ~1.5-second responses after the first query — faster than most cloud APIs once the system is initialized.

Via Ollama (easiest)

# Install Ollama: https://ollama.com

ollama pull gemma3:12b # Fast, reliable tool use (~200ms TTFT) ollama pull qwen3:14b # Strong reasoning, good for complex queries ollama pull deepseek-r1:14b # Excellent at multi-step chains

Then point the reference client at http://localhost:11434 (Ollama's default).

Via llama.cpp (maximum control)

# Download a GGUF model (example: Devstral 24B Q4)

Run the llama.cpp server:

llama-server -m devstral-24b-Q4_K_M.gguf --ctx-size 60000 --port 8080

Point the reference client at http://localhost:8080/v1.

Recommended local models

Model	Size	Best For	Hardware
Gemma 3 12B	~7 GB VRAM	Fast tool calls, straightforward queries	Single consumer GPU
Qwen 3 14B	~8.5 GB VRAM	Complex reasoning, multi-tool chains	Single consumer GPU
Devstral 24B Q4	~14.5 GB VRAM	Maximum capability, 60K context	RTX 3090 / 4090

Option 2: Cloud Providers

Anthropic (Claude):

export ANTHROPIC_API_KEY=sk-ant-...

Select "Anthropic" in the reference client's provider dropdown. Claude Sonnet offers the most reliable tool-calling behavior.

OpenAI (GPT):

export OPENAI_API_KEY=sk-...

Select "OpenAI" in the provider dropdown. GPT-4o performs well on structured queries.

Ollama Cloud: Uses the same API as local Ollama, hosted at https://ollama.com/v1. Good middle ground — faster than local cold starts, more private than big cloud providers.

Option 3: Claude Desktop (Direct MCP)

Claude Desktop connects to the moodle-mcp-server core directly over stdio — no reference client needed.

Add to your Claude Desktop config (claude_desktop_config.json):

"mcpServers": { "moodle-mcp-server": { "command": "node", "args": ["/path/to/moodle-mcp-server/packages/server/dist/index.js"], "env": { "MOODLE_URL": "https://your-moodle-instance.com", "MOODLE_TOKEN": "your-api-token" } } } }

Restart Claude Desktop. The server's tools will appear in Claude's tool list — ask questions directly.

Tools

Core Tools (free, open source — AGPL)

Tool	Description
`list_courses`	Full course catalog with category drill-down
`get_course`	Detail view for any course
`list_course_users`	Enrolled users with roles and access data (now supports course name search with interactive selection)
`list_assignments`	All assignments with due dates
`list_categories`	Full hierarchy with exact parent resolution
`get_site_info`	Instance overview — site name, version, course count
`get_user`	Detail view for a Moodle user
`list_user_courses`	Courses for a specific user
`search_users`	User search by standard Moodle identity fields
`search_courses_by_name`	Search for courses by name with partial matching and interactive selection

Premium Plugins (available separately)

Advanced Reporting — gradebooks, cross-course comparison, custom report builder
User Analytics — progress tracking, engagement scoring, risk flags
User Directory — cached directory listing and structured filtering across standard and custom profile fields
Compliance Pack — certification tracking, expiration alerts, audit exports

Architecture

This project is a reference implementation of the Agentic Query Layer (AQL) pattern — a layer that sits between an AI agent and your data, providing permission-aware, read-only, plain-language access without exposing the underlying data to the model.

User (plain English question)

│ ▼ AI Agent (Claude / GPT / Gemini / Ollama / local) │ ▼ MCP Protocol moodle-mcp-server ← AQL connector for Moodle ├── Tool Registry (core + plugins) ├── Agent Runtime Config (core + plugin rules) ├── Optimized Data Layer (secure, efficient data handling) └── Moodle Client (REST API calls) │ ▼ Moodle Web Services API

Transport modes

Stdio — dist/index.js — runs as a subprocess, used by Claude Desktop and similar clients

The OSS core intentionally ships with stdio only. Any network-facing wrapper, remote supervision, or premium plugin attachment belongs in a separate commercial node agent or wrapper.

Plugin docs

Plugin Contract
Creating Plugins
Hello Plugin Example

License

AGPL v3 — see LICENSE.

This means you can:

✅ Use the moodle-mcp-server core for free, in any environment
✅ Modify the source code for your needs
✅ Build and distribute derivative works

You cannot:

❌ Repackage the moodle-mcp-server core as a closed-source competing commercial product
❌ Offer it as a network service without sharing your modifications

Trademark Notice

Moodle is a trademark of Moodle Pty Ltd. moodle-mcp-server is an independent CSMediaPro project and is not affiliated with, endorsed by, sponsored by, or officially connected to Moodle Pty Ltd or the Moodle project. The name is used descriptively to identify compatibility with Moodle LMS.

Built by CSMediaPro

moodle-mcp-server is built and maintained by CSMediaPro, a software development company specializing in AI integration, systems engineering, and workflow automation. It is the first reference implementation of the Agentic Query Layer (AQL) pattern.

AQL pattern: https://csmediapro.com/notes/agentic-query-layer
Contact: contact@csmediapro.com

Moodle MCP Server Aql

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Tethered Trust

README from the maker

moodle-mcp-server — AI-Powered LMS Analytics

Features

Quick Start

Prerequisites

Use With An MCP Client

Setup From Source

Install dependencies

Configure

Edit .env: add your MOODLE_URL and MOODLE_TOKEN

Run (stdio mode)

User field schema

Config identity

Using the reference client

Open http://localhost:3000

Connecting an LLM

Option 1: Run Locally (Recommended for Speed & Privacy)

Via Ollama (easiest)

Via llama.cpp (maximum control)

Run the llama.cpp server:

Recommended local models

Option 2: Cloud Providers

Option 3: Claude Desktop (Direct MCP)

Tools

Core Tools (free, open source — AGPL)

Premium Plugins (available separately)

Architecture

Transport modes

Plugin docs

License

Trademark Notice

Built by CSMediaPro