広告掲載
MCP.so
ログイン

MCP Chain of Draft Server

@bsmi021

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

bsmi021

MCP Chain of Draft Server について

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, architectu

#tools#ai#server#cod#mcp#ai-tools#claude-ai#model-context-protocol#mcp-server#modelcontextprotocol#chainofdraft#chain-of-draft

MCP Chain of Draft Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Chain of Draft Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Chain of Draft Server 🧠?

MCP Chain of Draft Server 🧠 is an AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code reviews, and implementation planning.

How to use MCP Chain of Draft Server 🧠?

Install Node.js >= 16.0.0 and npm >= 8.0.0, then clone the repository and run npm install. Configure the server in initialize.ts with a name and version. Use the chainOfDraft tools to create reasoning chains, specify critique focuses, and iterate through drafts. Start the development server with npm run dev.

Key features of MCP Chain of Draft Server 🧠

  • Iterative reasoning through the Chain of Draft protocol
  • Thought history tracking and management
  • Branching support for focused reviews on specific reasoning steps
  • Full TypeScript implementation with Zod validation
  • Comprehensive error types and handling
  • Real-time logging for debugging and monitoring

Use cases of MCP Chain of Draft Server 🧠

  • Structured reasoning for complex problem-solving
  • Iterative API design and refinement
  • Architecture decision-making with systematic critique
  • Code review with focused, step-by-step analysis
  • Implementation planning with draft-based improvement

よくある質問

1

How does the Chain of Draft protocol work?

The protocol guides you through systematic improvement of your thinking through iterative drafts and focused critiques.

2

Can I customize the critique dimensions?

Yes! Each tool supports custom critique focuses tailored to your specific needs.

3

How many drafts should I plan for?

We recommend 3-5 drafts for most tasks, but you can adjust based on complexity.

コメント

「その他」の他のコンテンツ

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

広告掲載