Educhain MCP
E

Educhain MCP

This project implements a Flask server integrated with EduChain, providing dynamic educational content generation functions for Claude Desktop through a REST API, including multiple-choice questions, lesson plans, and flashcards.
2 points
6.7K

What is the EduChain MCP server?

This is an intelligent educational content generation system. By integrating with Claude Desktop, it can automatically create high-quality teaching materials for teachers and learners. It can generate educational content in various formats based on specified topics.

How to use the EduChain MCP server?

It can be used through simple API calls without the need for programming knowledge. Just send a request containing the topic and requirements, and the server will return structured educational content.

Applicable scenarios

Suitable for scenarios such as teachers' lesson preparation, students' self-study, and content generation for online education platforms. Particularly suitable for situations where a large number of standardized teaching materials need to be created quickly.

Main features

Multiple-choice question generation
Automatically generate multiple-choice questions based on the specified topic, and the number of questions can be controlled.
Lesson plan generation
Create a structured teaching plan for any subject, including detailed teaching steps.
Flashcard generation (additional feature)
Transform complex concepts into easy-to-remember flashcard forms.
Advantages
Generate high-quality educational content quickly, saving lesson preparation time
Support multiple content formats to meet different teaching needs
Easy to integrate into existing educational platforms
Limitations
An OpenAI API key is required to use it
The quality of the generated content depends on the clarity of the input topic
Currently, content customization templates are not supported

How to use

Installation preparation
Clone the repository and install the required dependencies.
Configure the environment
Create a.env file and add your OpenAI API key.
Start the server
Run the main program to start the service.
Send a request
Call the API endpoint through an HTTP request.

Usage examples

Math class preparation
A math teacher needs to prepare quiz questions for next week's geometry course.
Language learning assistance
A student wants to quickly master basic French vocabulary.
History lesson plan creation
A new teacher needs to prepare a standard lesson plan about the Industrial Revolution.

Frequently Asked Questions

Is programming knowledge required to use this service?
Can the generated content be used commercially?
What is the server response speed?
Which languages are supported for content generation?

Related resources

EduChain main project
The core library on which this project is based
Flask framework documentation
The Python framework used to build this server
OpenAI API documentation
Learn how to obtain and use the API key
MCP protocol description
Technical specification of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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