ChaitanyaAgarwal72/Claude-MCP-Educhain
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Claude-MCP-EduChain is an MCP-compatible Python server that leverages the EduChain library to create educational content, such as multiple-choice questions and lesson plans, and integrates with Claude Desktop.
🎓 Educhain MCP Server
This project integrates the Educhain library with Claude's Model Context Protocol (MCP) to provide a suite of educational tools powered by AI. It exposes local tools and resources such as MCQ generation, lesson plan creation, and multimedia-based question generation — all available within Claude's desktop environment.
🚀 Features
- 📝 Generate Multiple Choice Questions (MCQs)
- 🧠 Generate Image Description
- 📺 Generate questions from YouTube videos
- 📊 Generate questions from provided data source (e.g., text, pdf, url)
- 🎨 Support for prompt templates
- 🌐 Designed to work locally with Claude AI's Model Context Protocol (MCP)
🎥 Video Walkthrough
Watch the complete walkthrough here: 🔗 Loom Video Link
📁 Folder Structure
claude-mcp-educhain/
├── tools/
│ ├── mcq_generator.py # Tool: Generate MCQs
│ ├── image_desc_gen.py # Tool: Generate image description
│ ├── youtube_qna.py # Tool: Questions from YouTube
│ └── ques_from_data.py # Tool: Questions from data
├── mcp_server.py # MCP server entry point
├── requirements.txt # Python dependencies
├── sample_responses.txt # Sample output (optional)
├── .env # Optional environment config
├── .gitignore # Git ignore rules
└── README.md # Project documentation
🧠 Available MCP Tools & Resources
| Name | Type | File | Description |
|---|---|---|---|
generate_multiple_choice_questions | Tool | mcq_generator.py | Generate MCQs for a given topic |
generate_image_description | Tool | image_disc_gen.py | Returns a image description |
generate_questions_from_youtube | Tool | youtube_qna.py | Generate questions from YouTube videos |
generate_questions_from_data | Tool | ques_from_data.py | Generate questions from provided data |
🛠️ Setup Instructions
1. Clone the Repository
git clone https://github.com/your-username/claude-mcp-educhain.git
cd claude-mcp-educhain
2. Set Up Virtual Environment
python -m venv venv
# Activate it
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
3. Install Dependencies
pip install -r requirements.txt
4. Add API key (Google Gemini in this case)
Create a .env file and add your Google Gemini API Key.
▶️ Running the MCP Server
Normally, Claude MCP will launch your server automatically via the config file.
To run manually (for debugging):
python mcp_server.py
📚 Resources Used
-
Educhain Library Documentation
Comprehensive documentation for the Educhain Python library used for generating questions, lesson plans, and more. -
Model Context Protocol (MCP) Documentation
Official documentation for Claude’s Model Context Protocol, which enables tool/resource integration in local AI environments.
📝 License
This project is open source and available under the .