How do I enable Web Services in Moodle?

Go to Site Administration > Server > Web services > Overview. You'll need to enable Web Services, enable the REST protocol, create a specific user, and generate a token for them.

Can I see student grades for a course?

Yes! Use the `get_course_grades` tool with a course ID to retrieve the gradebook data for all students enrolled in that course.

How do I check if a student has completed a course?

The `get_course_completion` tool allows you to check the progress and completion status for a specific User ID in a target Course ID.

Moodle MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Moodle
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Moodle through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Moodle "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Moodle?"
    )
    print(result.data)

asyncio.run(main())

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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

About Moodle MCP Server

Connect your Moodle LMS account to your AI agent and streamline your educational and course management workflows through natural conversation.

Pydantic AI validates every Moodle tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Moodle MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Moodle MCP Server

Pydantic AI provides unique advantages when paired with Moodle through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Moodle integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Moodle connection logic from agent behavior for testable, maintainable code

Moodle + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Moodle MCP Server delivers measurable value.

Type-safe data pipelines: query Moodle with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Moodle tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Moodle and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Moodle responses and write comprehensive agent tests

Moodle MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Moodle to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Moodle to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Moodle + Pydantic AI FAQ

Common questions about integrating Moodle MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Moodle MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.