A hands-on, outcome-driven workshop for Python* developers to understand, build, and extend Model Context Protocol (MCP) servers: unlocking new possibilities in AI-assisted learning and research.

🎯 What You'll Build

1. 🐍 Python Study Buddy App
An interactive console-based learning companion powered by a custom MCP server. It adapts to beginner, intermediate, and expert levels to help developers master Python concepts.
Core Outcomes:
- Configure a custom MCP server tailored for Python learning
- Model learning concepts using Python dataclasses
- Build interactive study sessions with progress tracking
- Generate personalized coding challenges and explanations
- Explore how AI assistants can enhance developer education
Key Learning Objectives:
- Build a basic MCP server in Python
- Use prompts effectively with MCP
- Integrate basic tools into MCP workflows

2. 🧠 AI Research Learning MCP Server
A personalized research assistant that discovers trending AI/ML papers, summarizes breakthroughs, and generates study plans—powered by an advanced MCP server.
Core Outcomes:
- Create an AI/ML research paper discovery service
- Implement tools for summarization, ranking, and trend detection
- Automate personalized study plan generation
- Store daily research notes in a GitHub repo
Key Learning Objectives:
- Connect to and use external MCP servers
- Add and manage resources with MCP
- Automate tasks and workflows using MCP

This workshop is ideal for Python* developers curious about agent frameworks, AI-enhanced tooling, and building reproducible, intelligent assistants. Participants will leave with two fully functional MCP servers and the skills to extend them for their own use cases.

* We can customize this for JS and C# folks too.