Context Todo | MCP enabled 4+

A revolutionary task management app with MCP (Model Context Protocol) support, enabling seamless AI tool integration. Context Todo lets AI understand your work data to enhance productivity with next-generation TODO capabilities.

◆ AI-Powered Work Pattern Analysis
AI analyzes your task history through MCP, discovering personal work patterns like "completion rate drops on Fridays" or "morning tasks complete 3x faster," proposing optimal work plans.

◆ Intelligent Productivity Improvement Suggestions
AI learns task dwell time and completion patterns, implementing specific improvement suggestions: "This task typically completes in 2 days, so it should be done by tomorrow" or "Combining with similar tasks improves efficiency by 20%," supporting data-driven optimization.

◆ Smart Task Prediction and Suggestions
Predicts necessary tasks from historical data: "Rehearsal tasks usually follow presentation creation" or "Invoice processing tends to be needed around the 15th of each month," suggesting easily forgotten tasks in advance to prevent work omissions.

◆ Automatic Bottleneck Detection and Alerts
Automatically detects long-stagnant tasks and suggests solutions: "This task has been in progress for a week. In past similar cases, breaking it down solved the issue," AI provides specific advice from accumulated patterns.

◆ Automated Productivity Report Generation
Automatically creates detailed productivity analysis reports weekly and monthly, visualizing completion rate changes, work time trends, and most productive periods, supporting continuous improvement through data-driven self-analysis.

◆ Intuitive Swipe Operations
Swipe right to advance tasks, swipe left to revert. Simple operations enable "Not Started → In Progress → Complete" status management, achieving far more efficient task management than traditional checkboxes.

With MCP support, AI becomes your work partner beyond simple task management. Experience an entirely new task management approach that learns from data, predicts, and suggests.