EduChainMCP

📚 Educhain MCP Integration with Claude (via MCP Protocol)

This repository provides an integration of the Educhain Python library with the Claude AI platform using the Model Context Protocol (MCP). It allows you to use Claude or Claude Studio to generate:

✏️ Multiple-choice questions (MCQs)
🧠 Structured lesson plans

🚀 Features

✅ Claude-native MCP integration
✅ Uses OpenAI-compatible Claude Inspector & Claude Desktop apps
✅ Tool registration with Educhain’s QnA and LessonPlan engines
✅ Gemini 1.5 Flash as the backend LLM
✅ Easily extensible for more tools

🧱 Requirements

Python 3.10 or later
A Claude-compatible MCP runtime (uv)
A valid Gemini API Key from Google
Educhain PyPI package installed
Claude Desktop and MCP Inspector installed

🛠️ Setup Instructions

.### 1. Create and activate a virtual environment

python -m venv venv source venv/bin/activate # For Linux/macOS venv\Scripts\activate # For Windows pip install educhain

2.. Add your Gemini API key in .env

GOOGLE_API_KEY=your_actual_gemini_api_key

3. Set up and test EduChain with Gemini

4. Install MCP

pip install mcp[cli]

5. Write the mcp tools using educhain in main.py

tool1 : generate question and answer tool2 : generate lesson plan

6.Run and test in MCP inspector

uv run mcp dev main.py

then add tool to claude desktop using command :

uv run mcp install main.py

On claude Desktop :

Then restart claude and we can use our tools easily .

MissLostCodes/EduChainMCP