日常小助手 MCP Serverv2.1.0

A busy professional uses the MCP server to plan their day, get next-task recommendations, inherit unfinished tasks from yesterday, and generate end-of-day reviews. The zero-token deterministic operations keep AI costs minimal while providing structured task tracking.

A distributed team uses the daily-assistant to track daily tasks in shared Markdown files, detect overdue items, and review completion stats across the week. Managers can quickly assess team progress via the dashboard resource without expensive AI calls.

A graduate student manages research tasks, deadlines, and time estimates for experiments and writing. The tool flags tasks exceeding 80 minutes, inherits uncompleted tasks, and helps prioritize high-impact work with AI-assisted task splitting when needed.

A freelance designer uses the server to track multiple client projects, deadlines, and daily deliverables. The dashboard provides a 7-day completion history, while AI recommends the most important task to work on next based on priority markers.

A small business owner and their staff use the daily-assistant to manage operational tasks like inventory checks, customer follow-ups, and administrative duties. The overdue detection and review generation streamline daily stand-ups without needing a full project management suite.

The core MCP server remains free and open source under a permissive license, while paid support plans offer priority bug fixes, setup assistance, and custom integrations for teams. Revenue comes from annual support subscriptions and consulting hours.

A hosted version provides free basic task management with deterministic operations, while premium tiers unlock unlimited AI-powered task splitting, advanced analytics, and multi-user collaboration. AI usage is metered via credits included in paid plans.

Licenses the MCP server as a white-label component to existing productivity platforms (e.g., note-taking apps, project management tools) that want to add AI task management without building it in-house. Integration is via API or embedded MCP.