MCP Server

@jeongjisung690

Repository

Basic information

About MCP Server

this is a Moodle assistant

#moodle#mcp-server#moodle-assistant

MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-server?

MCP-server is a simple MCP server designed for Moodle manipulation. It connects to Moodle and uses either OpenAI or a local LLM (via ollama) to process user queries.

How to use MCP-server?

Configure your Moodle credentials in the .env file, create a Python virtual environment, install dependencies with pip install -r requirements.txt, then run python client.py server.py for OpenAI or python client_localLLM.py server.py for a local LLM.

Key features of MCP-server

Shows the due date of assignments.
Displays unread messages from Moodle.
Lists uncompleted quizzes.
Shows all courses you are taking.

Use cases of MCP-server

Students checking upcoming assignment deadlines.
Viewing unread messages without logging into Moodle.
Tracking incomplete quizzes across courses.
Getting a quick overview of all enrolled courses.

Frequently asked questions

What LLM models does MCP-server support?

It supports OpenAI and local LLM models via ollama.

How do I set up MCP-server?

Create a virtual environment, install the requirements from `requirements.txt`, and fill in your Moodle information in the `.env` file.

What actions can MCP-server perform?

It can show assignment due dates, unread messages, uncompleted quizzes, and a list of all courses.

Are there separate scripts for different LLMs?

Yes, `client.py` is for OpenAI and `client_localLLM.py` is for using a local LLM (ollama).

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