Retrieve detailed information about a specific task, including dependencies and subtasks, by providing the project ID and task ID. Returns a comprehensive task object if found.
Add a new task to a specified project by providing a description and project ID. Optionally include dependencies, priority, and initial status to organize task workflow effectively.
Retrieve the next actionable task for a project by checking task status and dependencies. Prioritizes tasks by status, priority, and creation time, returning detailed task data or null if none are ready.
Update task details such as description, priority, or dependencies within a project by providing the project and task IDs. Returns the full details of the modified task upon success.
Break down a parent task into subtasks by providing descriptions, project ID, and parent task ID. Optionally replace existing subtasks using the 'force' flag.
MCP Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
Enables intelligent task management with status tracking, dependency resolution, and automatic next task discovery based on preconditions and priorities. Supports hierarchical task structures with subtasks and flexible JSON-based configuration.
A Model Context Protocol server providing comprehensive task management capabilities with support for project organization, task tracking, and automatic PRD parsing into actionable items.