The MCP Task Manager is an MCP (Model Context Protocol) server. It allows AI assistants to structure, track, and manage multi-step tasks with user oversight.
To get started, configure the tool within an MCP-compatible client such as Claude Desktop or Cursor. You then manage tasks and projects using the provided command-line interface (CLI).
Its main features include managing multi-step tasks, tracking progress with visual aids, and requiring user approval at checkpoints. The CLI also offers enhanced commands for inspecting and managing the status of tasks and projects.
This tool is ideal for handling complex, AI-driven projects that involve multiple steps. It ensures user oversight throughout the workflow and helps streamline processes for AI assistants.
You can use it for any project type involving AI tasks. A CLI is available for all core management functions. For task finalization, a user must mark a task as done and then approve it via the CLI.