AWS' platform is a leading cloud computing platform, offering insights into cloud infrastructure, services, and solutions for developers, businesses, and IT professionals. Through articles, whitepapers, and documentation, AWS offers insights into cloud architecture, serverless computing, and machine learning on AWS. Developers and architects can learn about AWS services like EC2, S3, Lambda, and more to build scalable, secure, and cost-effective cloud applications.

AWS has announced the general availability of the AWS MCP Server, a managed remote Model Context Protocol (MCP) server that gives AI coding agents and assistants secure, authenticated access to all AWS services. Key features include a `call_aws` tool covering 15,000+ AWS API operations, `search_documentation` and `read_documentation` tools for up-to-date AWS docs, and a new `run_script` tool that executes sandboxed Python server-side. The server uses IAM and SigV4 authentication bridged via an open-source MCP proxy for OAuth 2.1 compatibility. Enterprise features include IAM-based permission separation between humans and agents, CloudWatch metrics under the `AWS-MCP` namespace, and CloudTrail audit logging. The server is available in US East (N. Virginia) and Europe (Frankfurt) at no additional charge beyond normal AWS resource costs, and works with Claude Code, Kiro, Cursor, Codex, and any MCP-compatible client.

The AWS MCP Server is now generally available