mcp-chain-of-thought

mcp-chain-of-thought

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MCP Chain of Thought is an advanced task management system leveraging Model Context Protocol for AI-driven projects. It features task planning, decomposition, tracking, verification, and memory storage, with optional web interface and detailed mode for enhanced usability.

MCP Chain of Thought

Chain of Thought Demo smithery badge

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

📑 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

CategoryToolDescription
📋 Planningplan_taskStart planning tasks
analyze_taskAnalyze requirements
process_thoughtStep-by-step reasoning
reflect_taskImprove solution concepts
init_project_rulesSet project standards
🧩 Managementsplit_tasksBreak into subtasks
list_tasksShow all tasks
query_taskSearch tasks
get_task_detailShow task details
delete_taskRemove tasks
▶️ Executionexecute_taskRun specific tasks
verify_taskVerify completion
complete_taskMark as completed

🤖 Recommended Models

  • 👑 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 file for details.

📚 Documentation

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