aws-samples

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Autonomous SWE agent working in the cloud! (a.k.a. Vibe coding with Bedrock)

Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute

Collection of examples of how to use Model Context Protocol with AWS.

This project provides samples for creating automated agents using Nova Act and MCP. Implemented in Python, it simplifies the creation and management of agents, particularly useful for automating workflows. It is designed to help developers quickly prototype and streamline their processes.

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This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with tool use, human-in-the-loop interaction, and vision capabilities.

This project demonstrates the implementation of an MCP server supporting Streamable HTTP protocol using Amazon Lambda. It leverages new features introduced in MCP v2025.03.26, including stream transmission based on HTTP Chunked Transfer Encoding and dynamic context priority control. The project aims to optimize cost-performance balance.

MCP for AWS Cost Explorer and CloudWatch logs

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This project provides sample code for building MCP servers using Rust. Leveraging Rust's characteristics, it achieves high performance and safety for server implementations. Developers can use this sample as a foundation to add custom features or make modifications as needed.

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