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BSMI021_MCP-RALF-SERVER
镜像://github.com/bsmi021/mcp-chain-of-draft-server
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MCP Chain of Draft Server 🧠
Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code reviews, and implementation planning.
🌟 Features
Core Capabilities
- Iterative Reasoning: Systematic improvement through the Chain of Draft protocol
- Thought History: Track and manage reasoning iterations
- Branching Support: Focus reviews on specific reasoning steps
- TypeScript Support: Full TypeScript implementation with Zod validation
- Error Handling: Comprehensive error types and handling
- Real-time Logging: Built-in debugging and monitoring system
🚀 Getting Started
Prerequisites
- Node.js >= 16.0.0
- npm >= 8.0.0
Installation
- Clone the repository:
git clone https://github.com/bsmi021/mcp-chain-of-draft-server.git
cd mcp-chain-of-draft-server
- Install dependencies:
npm install
Configuration
Simple server configuration in initialize.ts
:
const serverConfig = {
name: "chain-of-draft",
version: "1.0.0",
}
💡 Usage Examples
Chain of Draft Protocol
const thoughtData = {
reasoning_chain: ["Initial analysis of the problem"],
next_step_needed: true,
draft_number: 1,
total_drafts: 3,
is_critique: true,
critique_focus: "logical_consistency"
};
🛠️ Development
Project Structure
src/
├── tools/ # Specialized Tools
│ ├── chainOfDraft/ # Core Protocol
│ └── index.ts / # Entry Point
├── utils/ # Utilities
└── index.ts # Entry Point
Starting Development Server
npm run dev
❓ FAQ
How does the Chain of Draft protocol work?
The protocol guides you through systematic improvement of your thinking through iterative drafts and focused critiques.
Can I customize the critique dimensions?
Yes! Each tool supports custom critique focuses tailored to your specific needs.
How many drafts should I plan for?
We recommend 3-5 drafts for most tasks, but you can adjust based on complexity.
🤝 Contributing
We welcome contributions! Please check our Contributing Guidelines.
👥 Community & Support
- GitHub Issues - Report bugs or suggest features
- Pull Requests - Submit your contributions
- Documentation - Check our detailed docs
📝 License
MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Thanks to our contributors and early adopters
- Special thanks to the MCP community
- Inspired by systematic reasoning methodologies
Made with 🧠 by @bsmi021
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Reviews

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