Chain Of Thought Task Manager

🚀 MCP Chain of Thought Project

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

📑 Table of Contents

• ✨ Features
• 🧭 Usage Guide
• 🔧 Installation
• 🔌 Using with MCP Compatible Clients
• 🛠️ Tool Overview
• 🤖 Recommended Models
• 📄 License
• 📚 Documentation

✨ Features

• 🧠 Task Planning and Analysis: Deeply understand complex task requirements.
• 🧩 Intelligent Task Decomposition: Break down large tasks into manageable small tasks.
• 🔄 Dependency Management and Status Tracking: Handle dependencies and monitor progress.
• ✅ Task Verification: Ensure results meet requirements.
• 💾 Task Memory: Store task history for reference and learning.
• ⛓️ Chain of Thought Process: Reason step - by - step to solve complex problems.
• 📋 Project Rules: Define standards to maintain consistency.
• 🌐 Web GUI: Optional web interface (enable ENABLE_GUI=true).
• 📝 Detailed Mode: View conversation history (enable ENABLE_DETAILED_MODE=true).

🧭 Usage Guide

🚀 Quick Start

1. 🔽 Installation: Install MCP Chain of Thought via Smithery.
2. 🏁 Initial Setup: Tell the agent "init project rules" to establish project - specific guidelines.
3. 📝 Task Planning: Use the plan_task command to formulate a detailed plan.
4. 🔄 Dependency Handling: Manage relationships between tasks through manage_dependencies.
5. ▶️ Execution: Use the execute_task command to run key steps and verify completion through verify_task.

📝 Notes

• All commands in code blocks should remain unchanged, without translation or modification.
• When encountering unclear technical terms during translation, it is recommended to keep the English and add annotations for explanation.

🛠️ Installation

Installation via Smithery

# Example installation command
smithery install @liorfranko/mcp-chain-of-thought

Manual Installation

# Example manual installation steps
git clone https://github.com/liorfranko/mcp-chain-of-thought.git
cd mcp-chain-of-thought
npm install

🔌 Using with MCP Compatible Clients

Configure environment variables:

# Example environment variable settings
export MODEL_NAME="Claude-3.7"
export API_KEY="your_api_key_here"

Edit the config.json file to add custom settings.

🛠️ Tool Overview

🤖 Recommended Models

• 👑 Claude 3.7: Provides powerful understanding and generation capabilities.
• 💎 Gemini 2.5: Google's latest model with excellent performance.

📄 License

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

📚 Documentation

• 🏗️ System Architecture
• 🔧 Prompt Customization Guide
• 📝 Change Log