TaskQueue

Structured task management system that breaks down complex projects into manageable tasks with progress tracking, user approval checkpoints, and support for multiple LLM providers.

TaskQueue MCP Server provides a structured task management system for AI assistants, enabling them to break down complex projects into manageable tasks with progress tracking and user approval checkpoints. Developed by Christopher C. Smith, this TypeScript implementation uses the Model Context Protocol to expose tools for project planning, task creation, status updates, and completion approvals through both a server interface and companion CLI utility. The server supports multiple LLM providers (OpenAI, Google, Deepseek) for generating project plans and includes features like auto-approval, task recommendations, and detailed progress visualization. Ideal for collaborative workflows where AI assistants need to maintain structured progress on multi-step tasks with human oversight.