I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

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.
1
Github Watches
2
Github Forks
13
Github Stars
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
相关推荐
I find academic articles and books for research and literature reviews.
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Advanced software engineer GPT that excels through nailing the basics.
Converts Figma frames into front-end code for various mobile frameworks.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Mirror ofhttps://github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Reviews

user_ePFJGmiy
As a loyal user of mcp, I am thoroughly impressed with the mcp-chain-of-draft-server by bsmi021. It's a robust and efficient tool for managing drafts seamlessly. The intuitive interface and reliable performance have made my workflow much more streamlined. Highly recommend checking it out on GitHub!