Which integrations are available for this server?

Leverages OpenAI's API to power the educhain library functionality for generating educational content.

How do I use EduChain MCP Integration Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@EduChain MCP Integration Server generate 5 multiple-choice questions about photosynthesis" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

EduChain MCP Integration Server

This project implements an MCP-compatible Flask server that integrates with the educhain Python library to dynamically generate educational content for Claude Desktop.

It provides three core educational tools:

🧠 Multiple-Choice Questions (MCQs)
📘 Lesson Plans
🃏 Flashcards (Bonus)

🚀 Features

📡 Exposes REST API endpoints for Claude Desktop integration
🔐 Uses .env file to securely manage OpenAI API keys
📦 Lightweight and easy to deploy
🧪 Includes sample responses and test script

Related MCP server: Canvas MCP Server

🛠️ Technologies Used

Python 3.10+
Flask
EduChain (via educhain package)
dotenv (python-dotenv for secure API handling)
Claude Desktop MCP Protocol (local JSON config)

📦 Setup Instructions

1. Clone the Repository

git clone https://github.com/abanindra3/educhain-mcp.git
cd educhain-mcp
2. Create and Activate Virtual Environment (Recommended)

python -m venv venv
source venv/bin/activate     # On Windows: venv\Scripts\activate


3. Install Dependencies

pip install -r requirements.txt
pip install flask python-dotenv


4. Create .env File
Create a .env file in the root directory and add your OpenAI API key:
OPENAI_API_KEY=your_openai_key_here


5. Run the Server
python mcp_server.py

Server will run at:
📍 http://localhost:5000


6. Test the Endpoints
You can run:
python test_server.py
Or test manually using Postman/Hoppscotch with these POST endpoints:


Endpoint	Purpose	Sample Payload
/generate_mcqs	Generate MCQs	{ "topic": "Python loops", "count": 5 }
/generate_lesson_plan	Create a lesson plan	{ "subject": "Algebra" }
/generate_flashcards	Generate flashcards (bonus)	{ "topic": "OOP in Java", "count": 6 }