What LLM models does MCP-server support?
It supports OpenAI and local LLM models via ollama.
MCP Server
@jeongjisung690
基本信息
关于 MCP Server
this is a Moodle assistant
MCP Server 配置
MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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.
常见问题
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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