Learning Assistant
An intelligent learning assistance system based on PDF document analysis, providing functions such as document conversion, content organization, and question generation to help users learn efficiently.
rating : 2 points
downloads : 12
What is the Learning Assistant?
When you upload a PDF document, the AI analyzes the content, converts it into Markdown format, extracts key concepts, and automatically generates learning questions.Main Usage Methods
1. Upload a PDF file → 2. Check the automatically converted Markdown → 3. Learn key concepts → 4. Solve the generated questionsSuitable Usage Scenarios
It is effective for textbook learning, exam preparation, research paper analysis, self - directed learning, etc.Main Features
PDF → Markdown ConversionAnalyze PDF documents page by page and convert them into a structured Markdown format
Key Concept ExtractionAutomatically identify and organize important concepts from the document (Under development)
Automatic Question GenerationGenerate questions of various difficulty levels based on the learning content (Under development)
Advantages and Limitations
Advantages
Convert complex PDF documents into an easily learnable format
The AI summarizes key content to shorten learning time
Customized question generation enables effective review
Limitations
There may be limitations in processing PDFs containing formulas or special characters
Some functions are still under development
It is more optimized for processing Korean documents than English documents
Usage Method
Upload a PDF
Select the PDF file you want to learn on the upload page
Check the Conversion Result
Check the converted Markdown document and edit it if necessary
Start Learning
Learn the extracted key concepts or solve the generated questions
Usage Examples
Learning College TextbooksUpload a PDF of a major textbook to organize key concepts and generate exam - preparation questions
Preparing for Qualification ExamsAnalyze the PDF of the exam syllabus to highlight important content and generate mock questions
Frequently Asked Questions
What types of PDFs are supported?
Where are the converted documents stored?
Additional Resources
API Documentation
Detailed technical specification of the learning assistance API
Usage Guide Video
A video explaining the service usage step by step
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
284
4.5 points