3,400+ MCP servers ready to use
Vinkius

Bring E Learning
to LangChain

Learn how to connect Moodle to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create CoursesCreate UsersEnrol UsersGet Course ContentsGet Enrolled UsersGet Site InfoGet User GradesList AssignmentsList CategoriesList CoursesList FilesList Users

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)

create_courses

Requires fullname, shortname, and categoryid. Create new courses

create_users

Requires username, password, firstname, lastname, and email. Create new users in Moodle

enrol_users

Enrol users into a course

get_course_contents

Get contents of a specific course

get_enrolled_users

Get users enrolled in a course

get_site_info

Get Moodle site information

get_user_grades

Get grades for a user in a course

list_assignments

List assignments for courses

list_categories

List course categories

list_courses

List all available courses

list_files

List files in a specific area

list_users

g., username, email) and value. Search for users in Moodle

Why LangChain?

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.

  • 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

See it in action

Moodle in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Moodle and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Moodle to LangChain 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Moodle in LangChain

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 LangChain 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.

Moodle
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Moodle for LangChain

Every tool call from LangChain to the Moodle MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create courses and enrol students?

Yes. Create courses with full metadata, then enrol users with specific role IDs (student, teacher, manager).

02

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.

03

Can I retrieve student grades?

Yes. Retrieve grade items and results for any user within a specific course using their course and user IDs.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters