taskflow-mcp
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TaskFlow MCP is a task management server that helps AI assistants plan and execute tasks efficiently.
TaskFlow MCP is a specialized server designed to assist AI assistants in breaking down user requests into manageable tasks and tracking their completion. It enforces a structured workflow with user approval steps to ensure tasks are properly tracked and users maintain control over the process. The server supports task planning, progress tracking, user approval, and persistence across sessions. It also offers flexible management options, detailed reporting, and export capabilities in various formats. TaskFlow MCP is built with the Model Context Protocol (MCP) and is licensed under the MIT License.
Features
- Task Planning: Break down complex requests into manageable tasks.
- Progress Tracking: Track the status of tasks, subtasks, and requests with visual progress tables.
- 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.
Tools
plan_task
Register a new user request and plan its associated tasks.
get_next_task
Retrieve the next pending task for a request.
mark_task_done
Mark a task as completed.
approve_task_completion
Approve a completed task.
approve_request_completion
Approve an entire request as completed.
