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cjo4m06/mcp-shrimp-task-manager

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.

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About cjo4m06/mcp-shrimp-task-manager

cjo4m06/mcp-shrimp-task-manager is an MCP server published by cjo4m06 in the Data category: 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. It has been installed 0 times through Conduid.

The repository has 2.0K stars and 243 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mcp-shrimp-task-manager

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v1.0.21v1.0.21
v1.0.20v1.0.20
v1.0.19v1.0.19
v1.0.18v1.0.18
v1.0.17v1.0.17

README

🇺🇸 English | 🇩🇪 Deutsch | 🇪🇸 Español | 🇫🇷 Français | 🇮🇹 Italiano | 🇮🇳 हिन्दी | 🇰🇷 한국어 | 🇧🇷 Português | 🇷🇺 Русский | 🇨🇳 中文

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.

Shrimp Task Manager Demo

Watch Demo VideoQuick StartDocumentation

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🚀 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

Cline (VS Code Extension): A VS Code extension for AI-assisted coding. Add to VS Code settings.json under cline.mcpServers

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

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

🎯 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

Command Description
init project rules Initialize project standards
plan task [description] Create a task plan
execute task [id] Execute specific task
continuous mode Execute all tasks sequentially
list tasks Show all tasks
research [topic] Enter research mode
reflect task [id] Review and improve task

🤝 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.


README mirrored from the source repository yesterday. The original is authoritative.

Questions

About cjo4m06/mcp-shrimp-task-manager

How do I install cjo4m06/mcp-shrimp-task-manager?

Run npx mcp-shrimp-task-manager, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is cjo4m06/mcp-shrimp-task-manager safe to use with an AI agent?

Its trust score is 87 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is cjo4m06/mcp-shrimp-task-manager still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.