A CLI and MCP server for managing tasks and development workflows using Markdown-Driven Task Management (MDTM) files.
Scopecraft Command is a command-line interface and MCP server for Markdown-Driven Task Management (MDTM). It enables developers to manage tasks, features, and development workflows using structured markdown files, with support for parent tasks, subtask sequencing, and integration with AI IDEs. It solves the problem of disorganized task tracking by providing a standardized, automated system for project management.
Developers and teams using AI-assisted development tools (like Cursor or Claude Desktop) who need a structured, markdown-based system to manage tasks and complex feature workflows.
Developers choose Scopecraft Command for its deep integration with AI development environments, powerful CLI and MCP server interfaces, and structured approach to managing complex tasks with dependencies and parallel execution.
Scopecraft Command - A CLI and MCP server for Markdown-Driven Task Management (MDTM)
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Seamlessly integrates with Cursor, Claude Desktop, and other AI tools via MCP server, enabling direct task management from within development environments, as shown in the quick setup guides.
Implements a two-state system with phases (current/archive) and supports parent tasks with subtask dependencies, allowing for clear organization of complex features, detailed in the workflow examples.
Offers both interactive 'work' commands for manual Claude sessions and autonomous 'dispatch' commands for hands-off execution, catering to varied development styles and automation needs.
Supports configurable project roots and easy switching between projects via a config file, ideal for developers handling multiple codebases without context loss.
With numerous commands, concepts like parent tasks and sequencing, and MCP server setup, it can be overwhelming for users accustomed to simpler task managers.
Key features like Claude commands and MCP integration are optimized for AI IDEs, reducing utility in environments without these tools or for teams avoiding AI-assisted workflows.
Requires non-trivial configuration of project roots, MCP servers, and environment variables, which may hinder quick adoption compared to plug-and-play alternatives.