Bring E Learning
to Mastra AI
Learn how to connect Moodle to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Moodle MCP Server?
Connect your Moodle instance to any AI agent and manage your learning platform through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Moodle Site URL and API Token
3. Start managing courses from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Educators — automate course creation and student enrolment
- Administrators — bulk-manage users and grade retrieval
- EdTech — integrate LMS data into AI-powered workflows
Built-in capabilities (12)
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
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Moodle tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Moodle without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Moodle tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Moodle in Mastra AI
Moodle and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Moodle to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Moodle in Mastra AI
The Moodle 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Moodle for Mastra AI
Every tool call from Mastra AI to the Moodle MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create courses and enrol students?
Yes. Create courses with full metadata, then enrol users with specific role IDs (student, teacher, manager).
How does Moodle authentication work?
Moodle requires your Site URL and an API Token (wstoken). The token is passed as a query parameter to the Web Service REST endpoint.
Can I retrieve student grades?
Yes. Retrieve grade items and results for any user within a specific course using their course and user IDs.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
