Shrimp Task Manager (also known as Gist Task Manager) is an intelligent AI-native task management system built on the Model Context Protocol (MCP) that transforms natural language instructions into structured, actionable programming workflows. It guides AI coding agents through systematic development processes while maintaining long-term memory of project context. Key capabilities include: - Intelligent task decomposition that breaks complex requirements into manageable subtasks with dependency tracking - Project rules initialization to define coding standards and maintain style consistency across large codebases - Research mode for systematic technical exploration, comparing solutions, and surveying best practices - Task memory function that automatically backs up history and preserves context across coding sessions - Real-time execution status tracking with automatic complexity assessment and completeness verification - Optional web-based GUI when enabled via environment configuration, creating a visual task management interface - Chain-of-thought reasoning and reflection mechanisms to prevent redundant work and improve output quality

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目錄

MCP Shrimp Task Manager

[](https://www.youtube.com/watch?v=Arzu0lV09so)

[](https://smithery.ai/server/@cjo4m06/mcp-shrimp-task-manager)

> 🚀 An intelligent task management system based on Model Context Protocol (MCP), providing an efficient programming workflow framework for AI Agents.

Shrimp Task Manager guides Agents through structured workflows for systematic programming, enhancing task memory management mechanisms, and effectively avoiding redundant and repetitive coding work.

✨ Features

🧭 Usage Guide

Shrimp Task Manager offers a structured approach to AI-assisted programming through guided workflows and systematic task management.

What is Shrimp?

Shrimp is essentially a prompt template that guides AI Agents to better understand and work with your project. It uses a series of prompts to ensure the Agent aligns closely with your project's specific needs and conventions.

Research Mode in Practice

Before diving into task planning, you can leverage the research mode for technical investigation and knowledge gathering. This is particularly useful when:

Simply tell the Agent "research [your topic]" or "enter research mode for [technology/problem]" to begin systematic investigation. The research findings will then inform your subsequent task planning and development decisions.

First-Time Setup

When working with a new project, simply tell the Agent "init project rules". This will guide the Agent to generate a set of rules tailored to your project's specific requirements and structure.

Task Planning Process

To develop or update features, use the command "plan task [your description]". The system will reference the previously established rules, attempt to understand your project, search for relevant code sections, and propose a comprehensive plan based on the current state of your project.

Feedback Mechanism

During the planning process, Shrimp guides the Agent through multiple steps of thinking. You can review this process and provide feedback if you feel it's heading in the wrong direction. Simply interrupt and share your perspective - the Agent will incorporate your feedback and continue the planning process.

Task Execution

When you're satisfied with the plan, use "execute task [task name or ID]" to implement it. If you don't specify a task name or ID, the system will automatically identify and execute the highest priority task.

Continuous Mode

If you prefer to execu