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.
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liorfranko
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MCP Chain of Thought
🚀 An intelligent task management system based on 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
- 🛠️ Tools Overview
- 🤖 Recommended Models
- 📄 License
- 📚 Documentation
✨ 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
- 🔽 Installation: Install MCP Chain of Thought via Smithery or manually
- 🏁 Initial Setup: Tell the Agent "init project rules" to establish project-specific guidelines
- 📝 Plan Tasks: Use "plan task [description]" to create a development plan
- 👀 Review & Feedback: Provide feedback during the planning process
- ▶️ Execute Tasks: Use "execute task [name/ID]" to implement a specific task
- 🔄 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_thoughttool - 📋 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_DIRmust 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 |
🤖 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 LICENSE file for details.
📚 Documentation
- 🏗️ System Architecture
- 🔧 Prompt Customization Guide
- 📝 Changelog
