deepworktimer-mcp
Related Servers
Alternatives to deepworktimer-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceIntegrates task management with the Pomodoro Technique, enabling AI assistants to manage productivity workflows through timed work sessions, task tracking, and comprehensive productivity statistics.96 npm2MIT

roxabi-senseofficial
AlicenseBqualityBmaintenanceLocal workstation attention journal that tracks focus, idle, and agent sessions, exposing timeline data via MCP for AI agents to query current or past activity.5AGPL 3.0- FlicenseNot gradedqualityCmaintenanceEnables AI agents to connect to the OnTime personal workbench via MCP to manage tasks, projects, and goals through natural language, including creating sprint projects, logging progress, and querying workbench state in real time.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage TickTick tasks, projects, habits, and focus sessions through the MCP server.90 PyPI142MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to create, read, and manage tasks and projects in a personal todo system through MCP tools.MIT
- AlicenseAqualityBmaintenanceEnables MCP-compatible clients to manage Reclaim.ai tasks, including listing, creating, updating, completing, deleting, and timer operations through natural language.1312 npm19MIT
TDQS
Scored across 14 tools
Each tool targets a distinct action/resource: session lifecycle (start, switch, log, abandon), task/project management, and reporting views are clearly separated. Even closely related tools like dwt_log_session and dwt_log_pomodoro are disambiguated by the descriptions (active session vs. past time).
All tools share the 'dwt_' prefix and mostly follow a verb_noun pattern (list_projects, create_task, start_session, complete_task). A few names are noun-like (dwt_status, dwt_stats, dwt_lifetime_skills, dwt_deposits_today) but they are still predictable and consistent in style.
14 tools is well-scoped for a deep work timer with projects, tasks, sessions, and reporting. Each tool has a clear purpose, and the number is large enough to cover key workflows without feeling bloated.
The core domain is well covered: session management, task creation/completion, manual logging, and multiple reporting views are present. Minor gaps like task/project update or delete operations exist, but they are not essential to the primary focus-tracking workflow.