AWS MCP Server is a lightweight service designed to enable AI assistants to securely execute AWS CLI commands through the Model Context Protocol (MCP). It acts as a bridge between MCP-aware AI assistants such as Claude Desktop, Cursor, and Windsurf, and the AWS CLI, facilitating enhanced cloud infrastructure management. The server supports retrieving detailed AWS CLI documentation and executing AWS CLI commands with Unix pipe support, allowing for filtered and transformed command outputs optimized for AI consumption. It provides access to AWS profiles, regions, account information, and environment details via MCP Resources, and includes pre-defined prompt templates for common AWS tasks following best practices. The server is deployable via Docker, supporting multi-architecture environments including AMD64/x86_64 and ARM64, or can be run natively using Python 3.13+ with AWS CLI installed. Docker deployment is strongly recommended for security and reliability, as it provides isolation and controlled environment benefits. The server leverages existing AWS credentials configured on the host machine, emphasizing the importance of using IAM principals with least privilege permissions to ensure security. It supports configuration through environment variables for command execution timeout, output size limits, transport protocols, AWS profile and region selection, and security modes. Security considerations are paramount; the server encourages running inside Docker containers to isolate potentially destructive Unix commands executed via pipes, preventing host system damage. Users are responsible for securely managing AWS credentials and adhering to the principle of least privilege, avoiding the use of root credentials. The project includes continuous integration, code coverage, and linting badges, indicating active maintenance and quality assurance. Overall, AWS MCP Server enhances the capabilities of AI assistants in managing AWS cloud infrastructure by providing a secure, efficient, and flexible interface to AWS CLI commands through the MCP framework.
https://github.com/alexei-led/aws-mcp-server
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