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Built with ❤️ by Krishna Goyal

    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.

    25 stars
    TypeScript
    Updated Oct 4, 2025
    ai
    ai-tools
    chain-of-draft
    chainofdraft
    claude-ai
    cod
    mcp
    mcp-server
    model-context-protocol
    modelcontextprotocol
    server
    tools

    Table of Contents

    • 🌟 Features
    • Core Capabilities
    • 🚀 Getting Started
    • Prerequisites
    • Installation
    • Configuration
    • 💡 Usage Examples
    • Chain of Draft Protocol
    • 🛠️ Development
    • Project Structure
    • Starting Development Server
    • ❓ FAQ
    • How does the Chain of Draft protocol work?
    • Can I customize the critique dimensions?
    • How many drafts should I plan for?
    • 🤝 Contributing
    • 👥 Community & Support
    • 📝 License
    • 🙏 Acknowledgments

    Table of Contents

    • 🌟 Features
    • Core Capabilities
    • 🚀 Getting Started
    • Prerequisites
    • Installation
    • Configuration
    • 💡 Usage Examples
    • Chain of Draft Protocol
    • 🛠️ Development
    • Project Structure
    • Starting Development Server
    • ❓ FAQ
    • How does the Chain of Draft protocol work?
    • Can I customize the critique dimensions?
    • How many drafts should I plan for?
    • 🤝 Contributing
    • 👥 Community & Support
    • 📝 License
    • 🙏 Acknowledgments

    Documentation

    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

    1. Clone the repository:

    bash
    git clone https://github.com/bsmi021/mcp-chain-of-draft-server.git
    cd mcp-chain-of-draft-server

    2. Install dependencies:

    bash
    npm install

    Configuration

    Simple server configuration in initialize.ts:

    typescript
    const serverConfig = {
        name: "chain-of-draft",
        version: "1.0.0",
    }

    💡 Usage Examples

    Chain of Draft Protocol

    typescript
    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

    code
    src/
    ├── tools/                          # Specialized Tools
    │   ├── chainOfDraft/              # Core Protocol
    │   └── index.ts / # Entry Point
    ├── utils/                         # Utilities
    └── index.ts                      # Entry Point

    Starting Development Server

    bash
    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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