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mcp-chain-of-thought

Provides an intelligent task management system that guides AI Agents through structured workflows for systematic programming, enhancing task memory management and improving development efficiency. Facilitates deep task planning, execution tracking, and initialization of project rules to maintain consistency and quality.

Author

mcp-chain-of-thought logo

liorfranko

MIT License

Quick Info

GitHub GitHub Stars 19
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

aiworkflowstasktask managementproject managementtask planning

MCP Chain of Thought

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

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📑 Table of Contents

✨ Features

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

🧭 Usage Guide

🚀 Quick Start

  1. 🔽 Installation: Install MCP Chain of Thought via Smithery or manually
  2. 🏁 Initial Setup: Tell the Agent "init project rules" to establish project-specific guidelines
  3. 📝 Plan Tasks: Use "plan task [description]" to create a development plan
  4. 👀 Review & Feedback: Provide feedback during the planning process
  5. ▶️ Execute Tasks: Use "execute task [name/ID]" to implement a specific task
  6. 🔄 Continuous Mode: Say "continuous mode" to process all tasks sequentially

🔍 Memory & Thinking Features

  • 💾 Task Memory: Automatically saves execution history for reference
  • 🔄 Thought Chain: Enables systematic reasoning through process_thought tool
  • 📋 Project Rules: Maintains consistency across your codebase

🔧 Installation

🔽 Via Smithery

npx -y @smithery/cli install @liorfranko/mcp-chain-of-thought --client claude

🔽 Manual Installation

npm install
npm run build

🔌 Using with MCP-Compatible Clients

⚙️ Configuration in Cursor IDE

Add to your Cursor configuration file (~/.cursor/mcp.json or project-specific .cursor/mcp.json):

{
  "mcpServers": {
    "chain-of-thought": {
      "command": "npx",
      "args": ["-y", "mcp-chain-of-thought"],
      "env": {
        "DATA_DIR": "/path/to/project/data", // Must use absolute path
        "ENABLE_THOUGHT_CHAIN": "true",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "true",
        "ENABLE_DETAILED_MODE": "true"
      }
    }
  }
}

⚠️ Important: DATA_DIR must use an absolute path.

🔧 Environment Variables

  • 📁 DATA_DIR: Directory for storing task data (absolute path required)
  • 🧠 ENABLE_THOUGHT_CHAIN: Controls detailed thinking process (default: true)
  • 🌐 TEMPLATES_USE: Template language (default: en)
  • 🖥️ ENABLE_GUI: Enables web interface (default: false)
  • 📝 ENABLE_DETAILED_MODE: Shows conversation history (default: false)

🛠️ Tools Overview

Category Tool Description
📋 Planning plan_task Start planning tasks
analyze_task Analyze requirements
process_thought Step-by-step reasoning
reflect_task Improve solution concepts
init_project_rules Set project standards
🧩 Management split_tasks Break into subtasks
list_tasks Show all tasks
query_task Search tasks
get_task_detail Show task details
delete_task Remove tasks
▶️ Execution execute_task Run specific tasks
verify_task Verify completion
complete_task Mark as completed
  • 👑 Claude 3.7: Offers strong understanding and generation capabilities
  • 💎 Gemini 2.5: Google's latest model, performs excellently

📄 License

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

📚 Documentation

  • 🏗️ System Architecture
  • 🔧 Prompt Customization Guide
  • 📝 Changelog

⭐ Star History

Star History Chart

See Also

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