Task Manager

Provides structured task management with dependency tracking, complexity assessment, and automatic subtask decomposition for complex multi-step projects requiring systematic workflow orchestration.

Task Manager MCP server that provides structured task management capabilities for AI agents working on complex multi-step problems, enabling them to register tasks with dependencies and parent-child relationships, assess task complexity to automatically break down work into subtasks with missing knowledge requirements, and track status transitions through not-started, in-progress, and complete states. Built by Maik Schreiber, the implementation enforces workflow constraints like requiring task assessment before execution, ensuring parent tasks are in progress before subtasks can start, and validating all dependencies are complete before task initiation. Designed for agents handling complex projects that need systematic decomposition, dependency management, and progress tracking across interconnected work items, making it valuable for software development workflows, research projects, and any scenario requiring structured task orchestration with automatic knowledge gap identification.