LETSLEARNMCP-PYTHON

# Let's Learn MCP with Python - Tutorial Series A comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences. ## What You'll Build By the end of this tutorial series, you'll have: 1. **🐍 Python Study Buddy App** - An interactive console application that uses a custom MCP server to help developers learn Python concepts at beginner, intermediate, and expert levels 2. **🧠 AI Research Learning MCP Server** - Your own advanced MCP server that helps AI assistants find the latest AI/ML research papers, highlight top discoveries, and create personalized study plans ## Tutorial Structure ### [Part 1: Prerequisites and Setup](part1-setup.md) **⏱️ Time: 15-20 minutes** Set up your development environment and understand MCP fundamentals: - Install VS Code, Python 3.12+, and Python extension - Learn what Model Context Protocol is and why it matters - Understand the client-server architecture - Verify your development environment **Start here**: [Part 1: Prerequisites and Setup →](part1-setup.md) * Note for a more in depth 'Getting Started' with MCP Demo check out [mcp-python-demo](https://github.com/pamelafox/mcp-python-demo) --- ### [Part 2: Using MCP Servers - Python Study Buddy](part2-study-buddy-python.md) **⏱️ Time: 20-35 minutes** **Key Learning Objectives:** 1. Create a basic MCP server in Python 2. Use prompts with MCP 3. Use basic tools with MCP **Outcomes:** Building an interactive Python learning companion: - Configure a custom Python Learning MCP server - Create Python models for learning concepts using dataclasses - Build an interactive study session with progress tracking - Generate personalized coding challenges and explanations - Understand how AI assistants can enhance learning experiences **Example of what you'll create**: ``` 🐍 Python Study Buddy - Interactive Learning Session =================================================== Level: Intermediate Topic: List Comprehensions Progress: 3/10 concepts mastered Challenge: Create a list comprehension that filters even numbers... 💡 Hint: Use the modulo operator (%) to check for even numbers 🎯 Your mission: Write code that demonstrates understanding! ``` **Continue to**: [Part 2: Python Study Buddy →](part2-study-buddy.md) --- ### [Part 3: Building Your Own MCP Server - AI Research Learning Assistant](part3-ai-research-server-python.md) **⏱️ Time: 20-35 minutes** **Key Learning Objectives:** 1. Find and use external MCP servers 2. Add resources with MCP 3. Automate Tasks with MCP **Outcomes:** Build an advanced MCP server that helps you keep up with the latest AI Research: - Create an AI/ML research paper discovery service - Implement tools for finding trending papers and breakthroughs - Build personalized study plan generation capabilities - Create intelligent content summarization and ranking - Store daily AI Research Learning Notes in a Github Repo **What you'll build**: - `search_research_papers()` - Find latest AI/ML research by topic - `get_trending_papers()` - Discover what's hot in AI research - `create_study_plan()` - Generate personalized learning roadmaps - `summarize_paper()` - Create digestible summaries of complex research - `track_learning_progress()` - Monitor study achievements and goals - `send_research_learning()` - Send study daily study note to the user **Continue to**: [Part 3: AI Research Learning Hub →](./part3-ai-research.md) --- ## Quick Start If you're ready to dive in immediately: 1. **Prerequisites**: Ensure you have VS Code, Python 3.12+, Docker and Python extension installed 2. **Choose your path**: - 🆕 **Need help getting set up?** Start with [Part 1: Setup](part1-setup.md) - � **Want to learn Python with MCP?** Jump to [Part 2: Python Study Buddy](part2-study-buddy.md) - 🧠 **Ready to build AI research tools?** Go to [Part 3: AI Research Server](part3-ai-research-server.md) ## Repository Structure ``` letslearnmcp-python/ ├── README.md # This overview ├── part1-setup.md # Prerequisites and environment setup ├── part2-study-buddy.md # Building Python learning companion └── part3-ai-research-server.md # Creating AI research discovery server ``` ## Additional Resources - 📖 [MCP Official Documentation](https://modelcontextprotocol.io/) - 🛠️ [Python MCP SDK Repository](https://github.com/modelcontextprotocol/python-sdk) - 🐍 [Python MCP Examples](https://github.com/modelcontextprotocol/servers) - 🧠 [Quick Start Python MCP Demo](https://github.com/pamelafox/mcp-python-demo) - 📚 [ArXiv API Documentation](https://arxiv.org/help/api/user-manual) - 🔬 [Papers With Code API](https://paperswithcode.com/api/v1/docs/) ## Contributing This tutorial is open source! Feel free to: - 🐛 Submit improvements and corrections - 💡 Add more examples and use cases - 🤝 Share your own MCP server implementations - 💬 Help others in the discussions --- **Ready to get started?** Begin with [Part 1: Prerequisites and Setup →](part1-setup.md) *Happy learning! 🐍🧠*