About drafturl
drafturl is a document-sharing service for publishing and managing HTML or Markdown documents through URLs. Its tagline describes creating, editing, and deleting documents from AI tools; the README provides no further implementation details.
Key features
- 01Share HTML and Markdown documents by URL
- 02Create, edit, and delete documents from AI tools
Use cases
- 01Share an HTML document by URL
- 02Manage documents from an AI tool
MCP support
The tagline says documents can be created, edited, and deleted from AI tools, but does not specify MCP details.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://drafturl.com/mcp/transportclaude mcp add --transport http bamdule-drafturl https://drafturl.com/mcp/transport{"mcpServers":{"bamdule-drafturl":{"type":"http","url":"https://drafturl.com/mcp/transport"}}}Open in Cursor{"servers":{"bamdule-drafturl":{"type":"http","url":"https://drafturl.com/mcp/transport"}}}Open in VS Code{"mcpServers":{"bamdule-drafturl":{"type":"http","url":"https://drafturl.com/mcp/transport"}}}{"mcpServers":{"bamdule-drafturl":{"serverUrl":"https://drafturl.com/mcp/transport"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEDraftURL 문서 지도
디렉토리 구조
docs/
├── features/ ← 기능 기획+설계 (임시 — 배포 후 삭제)
├── product/ ← 백로그, 제품 방향, 브랜딩 (영구)
├── infra/ ← 인프라/배포/보안 설계 (영구)
├── market/ ← 시장 분석, 경쟁사 (영구)
├── qa/ ← QA 시나리오 (영구)
├── releases/ ← 릴리즈 노트, 버전별 누적 (영구)
└── content/ ← 사이트 서빙 콘텐츠 (탐색 제외)
├── legal/ ← 약관, 개인정보처리방침
└── guide/ ← MCP 가이드
핵심 문서
| 문서 | 역할 |
|---|---|
| product/backlog.md | 다음 작업 후보, 보류 항목 |
| product/product.md | 서비스 비전, 기능 목록, 로드맵 |
| infra/deployment.md | CI/CD, GitHub Actions 배포 워크플로우 |
| infra/dev-environment.md | 로컬 개발환경 (Docker Compose, Cloudflare Tunnel) |
| market/market.md | 경쟁사 분석, 핵심 해자, 방어 전략 |
문서 관리 원칙
features/는 기능 개발 시 생성, 배포 완료 후 삭제product/,infra/,market/,qa/는 항상 현재 상태를 반영releases/는 버전별로 누적
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.