🧠 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

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📚 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

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🛠️ 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.

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🔌 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"
      }
    }
  }
}

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🧪 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.

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📦 Tech Stack

• Framework: Next.js 15
• MCP Adapter: mcp-handler (Vercel)
• Protocol: @modelcontextprotocol/sdk
• Language: TypeScript
• Validation: Zod
• Deployment: Vercel

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📖 Learning Resources

• Interleaving: A Research-Based Strategy
• Model Context Protocol Docs
• Vercel MCP Deployment Guide
• llms.txt Standard

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👨‍💻 Author

Likhon Sheikh
@sheikhcoders

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📄 License

MIT License © 2024 Likhon Sheikh

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<p align="center"> _{Built with ❤️ for better learning outcomes} </p>