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A local-first MCP tool for todos, work hours, reports, files, and dev environment checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "e-worker-mcp" yet — see the docs or source repo.
Please turn these meeting notes into todos and sort them by priority: ...
A structured todo list with priorities and actionable items.
Generate a weekly summary from my work logs.
Ready-to-send daily or weekly report text.
Please preview the file move plan first, then organize my project folders and check the current dev environment issues.
A preview plan first, then file moves and environment diagnosis.
Useful when you need to turn meeting notes or discussion outcomes into actionable todos. It helps structure scattered information into a task list.
Useful for people who need to track work hours and compile daily or weekly reports. It reduces manual reporting effort.
Useful for developers who need local file moves, folder cleanup, and environment diagnostics. Its preview/apply workflow is designed for cautious operations.
It is a local-first MCP server that helps an AI assistant handle daily work tasks, including todo management, work-hour tracking, report generation, file organization, and dev environment diagnosis.
The description says it uses a human-maintained preview/apply safety model, meaning changes are previewed before execution. See the source repository for more details.
It fits office workers, product managers, and developers who frequently handle todos, reports, files, and environment issues.
Manage AI assistants, tasks, and channel operations across messaging and web.
Create tasks, manage knowledge, connect apps, and approve AI actions.
Manage notes through MCP with resources, prompts, and a note-adding tool.
Manage tasks via MCP with CRUD, filtering, and productivity-focused prompts.
Turn CVs and projects into MCP tools for querying and job matching.
Manage local todo lists through natural-language creation, updates, and queries.