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Getting Started with Amazon Q CLI and AWS MCP Servers on Windows

  • The article discusses setting up Amazon Q CLI on Windows and connecting it to MCP servers for enhanced AWS contextual awareness.
  • Amazon Q CLI is a command-line tool for interacting with a generative AI assistant in the terminal, providing assistance with AWS-related tasks.
  • MCP (Model Context Protocol) connects AI tools like Q CLI to external services, enhancing the AI's understanding of the environment.
  • Each MCP server configures specific knowledge domains, allowing users to connect multiple servers based on their needs.
  • To set up Amazon Q CLI on Windows using WSL, users need to install WSL, download the Q CLI installer, install dependencies, and run the install script.
  • After installing Amazon Q CLI, users can proceed with configuring MCP servers by installing uv, Python 3.10, ensuring AWS CLI is installed, and installing required packages.
  • MCP configuration involves creating a folder and file for MCP servers, specifying details like command, arguments, and environment variables.
  • Multiple MCP servers can be configured by listing them under 'mcpServers' in the configuration file.
  • Users can launch Amazon Q CLI with the configured MCP servers for improved AI assistance and contextual awareness of AWS services.
  • Security measures include HTTPS communication, IAM authentication, limited local system access, and appropriate access controls for MCP servers.

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