mcp: AWS MCP Servers are a collection of specialized servers designed to integrate the Model Context Protocol (MCP) with AWS services, providing large language models with real-time access to AWS documentation, best practices, and operational capabilities. This enhances AI applications by improving output quality, enabling workflow automation, and offering deep domain knowledge for cloud-native development.; iai-personal-memory-engine: iai-pme is an open-source, local-first personal memory engine designed for AI coding assistants, providing persistent, encrypted, and verbatim recall of past interactions. It integrates via the MCP protocol to give AI assistants a long-term memory, automatically capturing and recalling conversation content to enhance assistant adaptability and context.
AI-powered IDEs and Coding Assistants: Enhancing development environments (Kiro, Cursor, VS Code) with AWS contextual guidance for coding, infrastructure setup, and debugging.
Enhancing AI coding assistants (e.g., Claude Code, Cursor, Codex CLI) with continuous, personalized long-term memory.