sheikhcoders/interleaved-learning-mcp
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The Interleaved Learning MCP Server is designed to enhance long-term retention by implementing interleaved learning strategies through a Model Context Protocol server.
🧠 Interleaved Learning MCP Server
A Model Context Protocol (MCP) server implementing cognitive science-backed interleaved learning techniques for optimal knowledge retention.
🚀 Live Server
MCP Endpoint: https://interleaved-learning-mcp.vercel.app/api/mcp
LLMs.txt Support
/llms.txt- Quick reference for LLMs/llms-full.txt- Complete documentation for LLMs
📚 Documentation
What is Interleaved Learning?
Interleaved learning is a cognitive strategy backed by decades of research that involves mixing different topics during study sessions instead of focusing on one topic at a time (blocked practice).
Research-Backed Benefits
| Benefit | Improvement |
|---|---|
| Long-term retention | Up to 43% better |
| Concept discrimination | Significantly improved |
| Knowledge transfer | Enhanced application |
| Problem-solving | More flexible approaches |
"Interleaving is one of the most powerful learning strategies available, yet remains underutilized." — Rohrer & Taylor, 2007
🛠️ Available Tools
1. create_study_plan
Generate interleaved study schedules with 5 research-backed patterns.
{
"subjects": ["Mathematics", "Physics", "Chemistry"],
"totalMinutes": 90,
"pattern": "ABCABC"
}
Patterns Available:
ABAB- Simple alternation (beginner)ABCABC- Triple rotation (intermediate)ABACBC- Spaced mixing (intermediate)Random- Maximum interleaving (advanced)Blocked-to-Interleaved- Gradual transition (beginner)
2. generate_interleaved_quiz
Create mixed-topic quizzes that strengthen discrimination learning.
3. create_flashcard_deck
Build multi-topic flashcard decks for interleaved review.
4. get_shuffled_flashcards
Retrieve flashcards in shuffled order across topics.
5. log_study_session
Track study sessions with duration and quiz scores.
6. get_learning_progress
View statistics and personalized recommendations.
7. get_interleaving_patterns
Learn about different interleaving strategies and their use cases.
🔌 Quick Start
Connect with Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"interleaved-learning": {
"url": "https://interleaved-learning-mcp.vercel.app/api/mcp"
}
}
}
Connect with Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"interleaved-learning": {
"transport": {
"type": "streamable-http",
"url": "https://interleaved-learning-mcp.vercel.app/api/mcp"
}
}
}
}
🧪 Local Development
# Clone the repository
git clone https://github.com/sheikhcoders/interleaved-learning-mcp.git
cd interleaved-learning-mcp
# Install dependencies
npm install
# Run development server
npm run dev
# Test with MCP Inspector
npx @modelcontextprotocol/inspector@latest http://localhost:3000 undefined
Connect to http://localhost:3000/api/mcp using Streamable HTTP transport.
📦 Tech Stack
- Framework: Next.js 15
- MCP Adapter: mcp-handler (Vercel)
- Protocol: @modelcontextprotocol/sdk
- Language: TypeScript
- Validation: Zod
- Deployment: Vercel
📖 Learning Resources
- Interleaving: A Research-Based Strategy
- Model Context Protocol Docs
- Vercel MCP Deployment Guide
- llms.txt Standard
👨💻 Author
Likhon Sheikh
@sheikhcoders
📄 License
MIT License © 2024 Likhon Sheikh
Built with ❤️ for better learning outcomes