I've updated the AWS MCP server to v1.5.6. This project bridges the MCP with the AWS CLI, allowing LLMs to securely interact with AWS services. The intent is to enable secure AI agent operations in AWS environments.
The focus since v1.3.0 has been entirely on host security:
1. Native Sandboxing: Added seatbelt profiles for macOS and constraints for Linux execution.
2. Container Hardening: The Docker image now enforces non-root execution and read-only filesystems.
3. Model: Shifted to a strict IAM + Sandbox + Container architecture.
The goal is to enable "Agentic" workflows with AWS without exposing the local host to arbitrary code execution risks.
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[ 2.7 ms ] story [ 10.5 ms ] threadThe focus since v1.3.0 has been entirely on host security: 1. Native Sandboxing: Added seatbelt profiles for macOS and constraints for Linux execution. 2. Container Hardening: The Docker image now enforces non-root execution and read-only filesystems. 3. Model: Shifted to a strict IAM + Sandbox + Container architecture.
The goal is to enable "Agentic" workflows with AWS without exposing the local host to arbitrary code execution risks.