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Lets AI manage tasks and projects in self-hosted Conatus via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Conatus MCP Server" yet — see the docs or source repo.
Connect to Conatus, review tasks due today and high-priority items, group them by project, suggest an execution order, and label unlabeled tasks as "to-organize."
A project-grouped task list with prioritization advice, plus updated labels on selected tasks.
Create a project named "Website Redesign" in Conatus, add sections for Requirements, Design, Development, and Launch, and create two starter tasks in each section.
A new project with sections and a starter task structure is created.
Find tasks related to "client follow-up," add comments describing the next action for the assignee, and set a reminder for one day before the deadline.
Relevant tasks are updated with comments and reminders.
Product managers or office workers can use AI to organize tasks, labels, comments, and reminders in Conatus in bulk, reducing manual upkeep. It fits routine task cleanup and project follow-up.
When a new initiative starts, users can have AI create the project, sections, and starter tasks directly. This helps turn plans into an actionable task structure faster.
Developers or teams can operate a self-hosted Conatus instance through an MCP-enabled AI assistant using natural language. It suits workflows that integrate task management with AI.
It is an MCP tool that allows AI assistants to manage tasks, projects, sections, labels, comments, and reminders in a self-hosted Conatus task manager.
It is designed for use with a self-hosted Conatus task manager. The provided description does not include more specific deployment or connection requirements.
Yes. The original description explicitly states that it manages comments and reminders, as well as tasks, projects, sections, and labels.
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