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.
Install / Use
claude mcp add cjo4m06 -- npx -y github:cjo4m06/mcp-shrimp-task-managerIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of mcp-shrimp-task-manager
mcp-shrimp-task-manager scores 83/100 on our quality scale, 3005th of 4,611 Development & Engineering skills we index.
Its MCP Server is 7.3 KB long, well organised into 41 sections with 11 code examples: a thorough specification that gives an agent plenty to work with.
With 2,149 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
ReviewOur scan of the whole file found 1 pattern worth reviewing before you install mcp-shrimp-task-manager. An AI review of the same text found nothing harmful.
- mediumDisables the agent's permission promptsline 107
claude --dangerously-skip-permissions --mcp-config .mcp.json
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mcp-shrimp-task-manager compared with similar skills
All 4 of these similar skills score higher than mcp-shrimp-task-manager; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-shrimp-task-manager (this skill)by cjo4m06 | 83 | 2.1k | 15mo ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 110.8k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.3k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp-shrimp-task-manager?
- Run
claude mcp add cjo4m06 -- npx -y github:cjo4m06/mcp-shrimp-task-manager. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-shrimp-task-manager work with?
- It is written for Claude Code, Claude Desktop, Cursor and Windsurf, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-shrimp-task-manager safe to use?
- Our scan of the whole file found 1 pattern worth reviewing before you install mcp-shrimp-task-manager. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-shrimp-task-manager still maintained?
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHub🇺🇸 English | 🇩🇪 Deutsch | 🇪🇸 Español | 🇫🇷 Français | 🇮🇹 Italiano | 🇮🇳 हिन्दी | 🇰🇷 한국어 | 🇧🇷 Português | 🇷🇺 Русский | 🇨🇳 中文
MCP Shrimp Task Manager
<div align="center">🦐 Intelligent task management for AI-powered development - Break down complex projects into manageable tasks, maintain context across sessions, and accelerate your development workflow.
Watch Demo Video • Quick Start • Documentation
<a href="https://glama.ai/mcp/servers/@cjo4m06/mcp-shrimp-task-manager"><img width="380" height="200" src="https://glama.ai/mcp/servers/@cjo4m06/mcp-shrimp-task-manager/badge" alt="Shrimp Task Manager MCP server" /></a>
🚀 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
<details>
<summary><b>Other AI Clients</b></summary>
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
- Initialize your project:
"init project rules" - Plan a task:
"plan task: implement user authentication" - 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
<kbd><img src="tools/task-viewer/task-viewer-interface.png" alt="Task Viewer Interface" width="600"/></kbd>
🌐 Web GUI
Optional lightweight web interface for quick task overview.
Enable in .env: ENABLE_GUI=true
📚 Documentation
🎯 Common Use Cases
<details> <summary><b>Feature Development</b></summary>Agent: "plan task: add user authentication with JWT"
# Agent analyzes codebase, creates subtasks
Agent: "execute task"
# Implements authentication step by step
</details>
<details>
<summary><b>Bug Fixing</b></summary>
Agent: "plan task: fix memory leak in data processing"
# Agent researches issue, creates fix plan
Agent: "continuous mode"
# Executes all fix tasks automatically
</details>
<details>
<summary><b>Research & Learning</b></summary>
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
</details>
🛠️ 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.
<p align="center"> <a href="https://github.com/cjo4m06/mcp-shrimp-task-manager">GitHub</a> • <a href="https://github.com/cjo4m06/mcp-shrimp-task-manager/issues">Issues</a> • <a href="https://github.com/cjo4m06/mcp-shrimp-task-manager/discussions">Discussions</a> </p>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

