This MCP server implementation provides a bridge to TaskWarrior, enabling AI assistants to interact with task management operations. Developed by Brock Wilcox, it offers tools for viewing pending tasks, adding new tasks with various attributes, and marking tasks as complete. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on executing TaskWarrior commands through a simple interface. It is particularly useful for AI applications that need to automate task management, such as personal productivity assistants or project management systems. The implementation leverages the local TaskWarrior installation, allowing seamless integration with existing task databases and workflows.
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Highlight AIGet a list of all pending tasks with optional filters for project name and tags.
Add a new task to TaskWarrior with a required description and optional due date, priority, project name, and tags.
Mark a task as completed using the task ID or UUID.
