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Serverless Agents: Real-World Tooling with Strands SDK, MCP & AWS
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In the real world, agents do not merely reason—they act. In this presentation, I walk through how to reveal real functionality to LLM agents using Strands SDK, the Model Context Protocol (MCP), and AWS Lambda. From a minimal weather tool, I'll demonstrate how to create agent tools that are modular, stateless, and production-ready. We'll walk through how MCP allows tool execution in a language-model-friendly way, and how serverless architecture makes those tools easy to deploy, scale, and maintain. The goal: building agents that don't just simulate intelligence, but actually use it.
Transcript
In the real world, agents do not merely reason—they act. In this presentation, I walk through how to reveal real functionality to LLM agents using Strands SDK, the Model Context Protocol (MCP), and AWS Lambda. From a minimal weather tool, I'll demonstrate how to create agent tools that are modular, stateless, and production-ready. We'll walk through how MCP allows tool execution in a language-model-friendly way, and how serverless architecture makes those tools easy to deploy, scale, and maintain. The goal: building agents that don't just simulate intelligence, but actually use it.
About the speakers
Solution Architect at AntStack