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학습 보조 어시스턴트 MCP Server

@ktwome

基本信息

分类

AI 与智能体

传输方式

stdio

作者

ktwome

关于 학습 보조 어시스턴트 MCP Server

학습 보조 웹 서비스

학습 보조 어시스턴트 MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

학습 보조 어시스턴트 MCP Server 工具

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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 학습 보조 어시스턴트?

학습 보조 어시스턴트 is a PDF document analysis service that helps users learn. It converts PDFs to Markdown, performs RAG (Retrieval-Augmented Generation) on user questions, and generates practice problems by difficulty level. The server is built with FastAPI and Vue, and uses the EXAONE language model for content organization.

How to use 학습 보조 어시스턴트?

The server provides a web interface built with Vue and Vuetify. Users upload PDF files via the frontend, which are then converted to Markdown. Converted files are saved on the server and can be viewed in a history list. Planned features include core concept extraction, problem generation, chat, and RAG. No specific installation or configuration commands are provided in the README.

Key features of 학습 보조 어시스턴트

  • PDF upload and conversion to Markdown
  • RAG-based question answering (planned)
  • Problem generation by difficulty (planned)
  • EXAONE-assisted content organization
  • Saved conversion history and display
  • Core concept extraction (planned)

Use cases of 학습 보조 어시스턴트

  • Students uploading textbook PDFs for summarized Markdown notes
  • Self-study with automatically generated practice questions
  • Extracting key concepts from academic papers
  • Quick review of large PDF documents via structured Markdown

常见问题

1

What file formats are supported?

The server only supports PDF files for input.

2

Is this a web-based service?

Yes, it uses a FastAPI backend and a Vue frontend, accessible via a web browser.

3

What LLM is used for content organization?

The EXAONE model is used to organize content from each PDF page.

4

Are all listed features currently implemented?

Some features (RAG, problem generation, core concept extraction, chat) are listed as planned in the development history and may not be fully functional yet.

5

How are converted files stored?

Converted Markdown files are saved on the server and can be viewed in a list showing the PDF title and conversion time.

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