Juno FAQs

Question 1

What is Juno and its primary purpose?

Accepted Answer

Juno is a Model Context Protocol (MCP) server designed to expose MGMU Juno ERP student data as LLM-ready tools. Its primary purpose is to enable AI applications and large language models (LLMs) to interact with and utilize student information programmatically.

Question 2

What are the basic steps to set up and run Juno?

Accepted Answer

To set up Juno, you'll need Node.js. First, install dependencies (`npm install`), then configure your MGMU Juno ERP credentials (email, password) in a `.env` file. After building the project (`npm run build`), you can run the server in development (`npm run dev`) or production (`npm start`) modes, or utilize the provided Docker support for containerized deployment.

Question 3

What kind of student data can be accessed through Juno?

Accepted Answer

Juno provides comprehensive access to various student data points, including personal and academic profiles, detailed attendance records, financial overviews (remaining fees, fee structures), daily schedules, exam results, course lists, and the ability to search for students by name.

Question 4

How does Juno integrate with Large Language Models (LLMs)?

Accepted Answer

Juno leverages the Model Context Protocol (MCP) to present specific student data functions as 'tools.' This allows LLMs (like Claude) to discover and call these tools within their conversational or programmatic flows, extending their capabilities to interact with real-time ERP data.

Question 5

Is the student data handled by Juno secure?

Accepted Answer

Yes, security is a priority for Juno. Credentials are never hardcoded and are securely loaded from `.env` files, which are excluded from version control. Session tokens for the ERP are managed in-memory and automatically refreshed to maintain secure access.

Juno

Juno

主要功能

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主要功能

使用案例