Retrieve all tasks from Task Master, with options to filter by status, include subtasks, and specify project details for AI-driven development workflows.
Set up a new project structure for Task Master by creating folders, configuration files, and initializing Git. Includes options to skip dependencies, add shell aliases, and define rule profiles for AI-driven development.
Create and manage tasks efficiently with AI-driven task generation in the Task Master MCP server. Define task details manually or use prompts for automated creation, ensuring structured and prioritized task management.
Retrieve detailed information about a master release from Discogs by providing its master ID. This tool accesses the Discogs API to fetch comprehensive music catalog data for specific master releases.
Convert Product Requirements Documents into actionable development tasks with AI analysis, generating task lists, estimates, priorities, dependencies, and traceability matrices for GitHub project management.
Parse a Product Requirements Document (PRD) to generate actionable development tasks using AI-powered analysis. Automate task breakdown, prioritization, estimation, dependency detection, and lifecycle creation for efficient GitHub project management.
A central knowledge hub that connects AI tools to a unified 'Master Brain' with automated memory capabilities. It utilizes intelligent analysis to automatically capture and store key decisions, fixes, and learnings across various development environments.
A Model Context Protocol implementation that provides a standardized interface for task management, supporting both STDIO mode for CLI/AI applications and HTTP+SSE mode for browser-based clients.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.