Discover the cutting-edge world of Model Context Protocol (MCP) servers and how they're revolutionizing AI code assistants!

Join the AWS PACE team as they share their incredible journey from internal hackathon project to releasing 30+ open source MCP servers that are transforming how developers interact with AI assistants like Amazon Q Developer.

What You'll Learn:

🔧 Model Context Protocol Fundamentals - Understanding MCP and why it's the future of AI assistant integration

🚀 Real-World MCP Development - Live demos of AWS MCP servers in action with code assistants

📈 Open Source Success Story - How a team hackathon became a viral open source project featured in AWS blogs

⚡ AWS Service Integration - See MCP servers connecting AI assistants to AWS services seamlessly

🎯 Best Practices & Lessons Learned - Practical insights from building and maintaining 30+ MCP servers

🌟 Emerging Technology Focus - How the PACE team identifies and builds the next generation of developer tools

Featured Team:

Meet Alexa Perlov, Anita Lewis, and Jimin Kim from the AWS PACE team who've made MCP development their specialty, with extensive open source experience including their GenAI constructs library and numerous community contributions.

Perfect for: Developers interested in AI assistant extensibility, open source contributors, AWS developers looking to enhance their AI workflows, and anyone curious about the future of developer tooling and AI integration.