Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
Facilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.