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MCP Shrimp Task Manager

🦐 Intelligent task management for AI-powered development - Break down complex projects into manageable tasks, maintain context across sessions, and accelerate your development workflow.

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm or yarn
• MCP-compatible AI client (Claude Code, etc.)

Installation

Installing Claude Code

Windows 11 (with WSL2):

# First, ensure WSL2 is installed (in PowerShell as Administrator)
wsl --install

# Enter Ubuntu/WSL environment
wsl -d Ubuntu

# Install Claude Code globally
npm install -g @anthropic-ai/claude-code

# Start Claude Code
claude

macOS/Linux:

# Install Claude Code globally
npm install -g @anthropic-ai/claude-code

# Start Claude Code
claude

Installing Shrimp Task Manager

# Clone the repository
git clone https://github.com/cjo4m06/mcp-shrimp-task-manager.git
cd mcp-shrimp-task-manager

# Install dependencies
npm install

# Build the project
npm run build

Configure Claude Code

Create a .mcp.json file in your project directory:

{
  "mcpServers": {
    "shrimp-task-manager": {
      "command": "node",
      "args": ["/path/to/mcp-shrimp-task-manager/dist/index.js"],
      "env": {
        "DATA_DIR": "/path/to/your/shrimp_data",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "false"
      }
    }
  }
}

Example configuration:

{
  "mcpServers": {
    "shrimp-task-manager": {
      "command": "node",
      "args": ["/home/fire/claude/mcp-shrimp-task-manager/dist/index.js"],
      "env": {
        "DATA_DIR": "/home/fire/claude/project/shrimp_data",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "false"
      }
    }
  }
}

Then start Claude Code with your custom MCP configuration:

claude --dangerously-skip-permissions --mcp-config .mcp.json

Start Using

1. Initialize your project: "init project rules"
2. Plan a task: "plan task: implement user authentication"
3. Execute tasks: "execute task" or "continuous mode"

💡 What is Shrimp?

Shrimp Task Manager is an MCP (Model Context Protocol) server that transforms how AI agents approach software development. Instead of losing context or repeating work, Shrimp provides:

• 🧠 Persistent Memory: Tasks and progress persist across sessions
• 📋 Structured Workflows: Guided processes for planning, execution, and verification
• 🔄 Smart Decomposition: Automatically breaks complex tasks into manageable subtasks
• 🎯 Context Preservation: Never lose your place, even with token limits

✨ Core Features

Task Management

• Intelligent Planning: Deep analysis of requirements before implementation
• Task Decomposition: Break down large projects into atomic, testable units
• Dependency Tracking: Automatic management of task relationships
• Progress Monitoring: Real-time status tracking and updates

Advanced Capabilities

• 🔬 Research Mode: Systematic exploration of technologies and solutions
• 🤖 Agent System: Assign specialized AI agents to specific tasks (Learn more)
• 📏 Project Rules: Define and maintain coding standards across your project
• 💾 Task Memory: Automatic backup and restoration of task history

Web Interfaces

🖥️ Task Viewer

Modern React interface for visual task management with drag-and-drop, real-time search, and multi-profile support.

Quick Setup:

cd tools/task-viewer
npm install
npm run start:all
# Access at http://localhost:5173

📖 Full Task Viewer Documentation

🌐 Web GUI

Optional lightweight web interface for quick task overview.

Enable in .env: ENABLE_GUI=true

📚 Documentation

• 📖 Full Documentation
• 🛠️ Available Tools
• 🤖 Agent Management
• 🎨 Prompt Customization
• 🔧 API Reference

🎯 Common Use Cases

Agent: "plan task: add user authentication with JWT"
# Agent analyzes codebase, creates subtasks

Agent: "execute task"
# Implements authentication step by step

Agent: "plan task: fix memory leak in data processing"
# Agent researches issue, creates fix plan

Agent: "continuous mode"
# Executes all fix tasks automatically

Agent: "research: compare React vs Vue for this project"
# Systematic analysis with pros/cons

Agent: "plan task: migrate component to chosen framework"
# Creates migration plan based on research

🛠️ Configuration

Environment Variables

Create a .env file:

# Required
DATA_DIR=/path/to/data/storage

# Optional
ENABLE_GUI=true          # Enable web GUI
WEB_PORT=3000           # Custom web port
PROMPT_LANGUAGE=en      # Prompt language (en, zh, etc.)

Available Commands

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🌟 Credits

Created by cjo4m06 and maintained by the community.

GitHub • Issues • Discussions