AWS Well-Architected MCP Server for AI assistants like GitHub Copilot, AWS Q, and more
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# 🏗️ AWS Well-Architected MCP Server A powerful Model Context Protocol (MCP) server that provides seamless integration with AWS Well-Architected Framework for AI assistants like GitHub Copilot, AWS Q, Cursor, and other modern IDEs. ## 🚀 Features - **Complete AWS Well-Architected Integration**: Access all major Well-Architected Framework capabilities - **AI Assistant Ready**: Works with GitHub Copilot, AWS Q, Cursor, and other MCP-compatible tools - **Easy Configuration**: Simple setup for any IDE or AI assistant - **Secure AWS Access**: Uses your existing AWS credentials and profiles - **Rich Functionality**: - List and explore Well-Architected lenses - Manage workloads and reviews - Access improvement recommendations - Generate reports - Track milestones ## 📋 Prerequisites - Python 3.11+ - AWS CLI configured (`aws configure`) - Active AWS credentials with Well-Architected permissions - An IDE or AI assistant that supports MCP (VS Code, Cursor, etc.) ## 🛠️ Installation ### Option 1: Install from PyPI (Recommended) ```bash pip install wellarchitected-mcp-server ``` ### Option 2: Install with uvx (Preferred for AI assistants) ```bash uvx wellarchitected-mcp-server@latest ``` ### Option 3: Development Installation ```bash git clone <repository-url> cd wellarchitected-mcp-server pip install -e . ``` ## ⚙️ Configuration ### AWS Credentials Setup Ensure your AWS credentials are configured: ```bash aws configure # or export AWS_PROFILE=your-profile export AWS_REGION=us-east-1 ``` ### Required AWS Permissions Your AWS credentials need the following permissions: ```json { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "wellarchitected:List*", "wellarchitected:Get*", "wellarchitected:Create*", "wellarchitected:Update*" ], "Resource": "*" } ] } ``` ## 🔧 IDE and AI Assistant Con…
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