3 Powerful Ways to Use MCP in Serverless Environments

AWS Developers · Beginner ·🔍 RAG & Vector Search ·4mo ago
Want to start something new in 2026? Learn how to leverage Model Context Protocol (MCP) in serverless environments to build powerful AI-integrated applications on AWS. Build serverless applications using natural language, run your own MCP servers remotely, and connect MCP servers to tools like Lambda without compromising on performance! Join the conversation with other devs on AWS Builder Center: https://go.aws/4p8XrdC Serverless MCP Servers on GitHub: https://go.aws/4p5Foor Follow AWS Developers! 📺 Instagram: https://go.aws/49r7LZC 🆇 X: https://go.aws/3Ya728V 💼 LinkedIn: https://go.aws/4sdbXnj 👾 Twitch: https://go.aws/3YHEK5T 00:00 - Introduction 01:01 - Getting AI to work with your latest real-time data 02:25 - Using the AWS serverless MCP server to build and deploy a serverless app 14:41 - Running your own serverless MCP servers 15:59 - Using Lambda functions as MCP tools 18:54 - Conclusion #AWS #MCP #Serverless
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Chapters (6)

Introduction
1:01 Getting AI to work with your latest real-time data
2:25 Using the AWS serverless MCP server to build and deploy a serverless app
14:41 Running your own serverless MCP servers
15:59 Using Lambda functions as MCP tools
18:54 Conclusion
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