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.
- 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
- Node.js >= 16.0.0
- npm >= 8.0.0
- 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
Simple server configuration in initialize.ts
:
const serverConfig = {
name: "chain-of-draft",
version: "1.0.0",
}
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"
};
src/
├── tools/ # Specialized Tools
│ ├── chainOfDraft/ # Core Protocol
│ └── index.ts / # Entry Point
├── utils/ # Utilities
└── index.ts # Entry Point
npm run dev
The protocol guides you through systematic improvement of your thinking through iterative drafts and focused critiques.
Yes! Each tool supports custom critique focuses tailored to your specific needs.
We recommend 3-5 drafts for most tasks, but you can adjust based on complexity.
We welcome contributions! Please check our Contributing Guidelines.
- GitHub Issues - Report bugs or suggest features
- Pull Requests - Submit your contributions
- Documentation - Check our detailed docs
MIT License - see the LICENSE file for details.
- Thanks to our contributors and early adopters
- Special thanks to the MCP community
- Inspired by systematic reasoning methodologies
Made with 🧠 by @bsmi021