TaskFlow
Enables AI assistants to break down user requests into manageable tasks with subtasks, dependencies, and notes.
About
TaskFlow is a Model Context Protocol (MCP) server designed to empower AI assistants with structured task management. It facilitates the breakdown of complex user requests into manageable tasks and subtasks, complete with dependency tracking and note-taking capabilities. The system enforces a well-defined workflow, incorporating user approval steps to maintain control and ensure quality throughout the task execution process. It allows AI agents to consistently and reliably deliver the results you expect.
Key Features
- Task Planning: Break down complex requests into manageable tasks.
- Subtasks: Divide tasks into smaller, more manageable subtasks.
- User Approval: Enforce user approval steps to ensure quality and control.
- Persistence: Save tasks and requests to disk for persistence across sessions.
- Export Options: Export task plans and status reports in Markdown, JSON, or HTML formats.
- 2 GitHub stars
Use Cases
- Managing complex project workflows with AI assistance.
- Integrating structured task management into AI-driven applications.
- Automating task breakdown and execution with user oversight.