Moodle MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Courses, Create Users, Enrol Users, and more
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.
Ask AI about this App Connector for Pydantic AI
The Moodle app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Moodle?"
)
print(result.data)
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 instance to any AI agent and manage your learning platform through natural conversation.
Pydantic AI validates every Moodle tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- 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
The Moodle MCP Server exposes 12 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.
All 12 Moodle tools available for Pydantic AI
When Pydantic AI connects to Moodle through Vinkius, your AI agent gets direct access to every tool listed below — spanning e-learning, course-management, student-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Moodle to Pydantic AI via MCP
Follow these steps to wire Moodle into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
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 courses and show enrolment counts."
"Get grades for student ID 42 in the Python course."
"Create a new course 'AI Ethics' in category 1 and enrol 3 students."
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
pip install --upgrade pydantic-aiMoodle + Pydantic AI FAQ
Common questions about integrating Moodle MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.