Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Comment on AI-generated webpages; feedback flows back to your coding agent. Free, MIT, local-first.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://marigold.page/api/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http marigold https://marigold.page/api/mcpclaude mcp add marigold -- npx -y marigold-draft mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"marigold": {
"url": "https://marigold.page/api/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"marigold": {
"type": "http",
"url": "https://marigold.page/api/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"marigold": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://marigold.page/api/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 immuneeb 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.9.1)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, zanadir
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Find what a repository's CI is missing, and which security checks cannot fail the build.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
marigold-draft)The Marigold review loop, on your machine, in milliseconds. An agent writes a rich HTML/SVG draft to a file; marigold-draft open serves it in the same comment shell as cloud Marigold; you highlight, comment, edit in place, and hit Send feedback to agent — the agent's blocked open --json call returns the feedback and it revises the file, which live-reloads in your tab.
No Postgres, no render tokens, no OAuth, no network. One warm background daemon (state in ~/.marigold-local/server.json) is reused across every open, so per-revision cost is a file write. Comments persist in a sidecar .marigold.json next to the draft — written *before* the handoff event fires, so feedback survives crashed waiters and daemon restarts.
Same anchoring engine as prod (@marigold/core's deterministic data-marigold-id instrumentation + resolveAnchor), so comments re-anchor across revisions, in-place edits write through to the source file, and a draft promoted to cloud Marigold (create_doc with the same HTML) instruments identically.
npm i -g marigold-draft
marigold-draft agent-setup # wires up Claude Code (skill) + Claude Desktop (MCP)
Or hand this prompt to your coding agent:
Install Marigold for me using
npm i -g marigold-draft, then read
https://marigold.page/draft/setup.md and set yourself up
to use it.
From the monorepo instead: pnpm --filter marigold-draft build, then link packages/local/dist/cli.cjs onto your PATH.
# 1. write draft.html (full document or fragment — fragments get a neutral wrapper)
marigold-draft open draft.html --json # opens the browser tab, BLOCKS
marigold-draft reply draft.html c1 "Bumped the chart to 34px" marigold-draft resolve draft.html c1
marigold-draft open draft.html --json --no-browser
Run the blocking open as a background process; its exit is the signal that feedback arrived. Keep stdout clean with --json (status goes to stderr). .svg files work too — they're inlined into the wrapper so every element is commentable.
Local drafts never leave your machine. When you want to share one — send it to someone, open it on your phone, or just keep it — graduate it to hosted Marigold. Two rungs:
marigold-draft share draft.html # prints a share link + a claim link
marigold-draft share draft.html --title "Q3 Review" --origin http://localhost:3000
share POSTs the draft to hosted Marigold's quick door and prints a URL whose ?k= *is* the capability — anyone with the link can view and comment. It's link-visible only (never listed) and expires ~30 days after the last write. share also prints a claim link.https://marigold.page/api/mcp.share defaults the title to the file's (or its filename) and posts to https://marigold.page — override with --origin or MARIGOLD_ORIGIN. Local comments stay in the local sidecar; the hosted copy starts a fresh thread on the same anchoring engine, so comments re-anchor across revisions there exactly as they do locally.
open <file> serve + open in browser, wait for feedback
--json --no-browser --no-wait --timeout --title listen [path…] stream submitted rounds as JSON lines; path args (files and/or dirs) scope it to those drafts — scope it when parallel agent sessions run at once (no paths = all drafts); reconnects forever — run under a persistent monitor share publish to hosted Marigold + print a share link and claim link --title --origin (default marigold.page) comments list threads [--json] reply reply to a comment (badged AI in the UI) resolve|reopen set comment status start | status | stop manage the background daemon (default port 4747, override with MARIGOLD_LOCAL_PORT or --port) mcp stdio MCP server for chat clients (see below)
marigold-draft mcp speaks MCP over stdio, for clients that can't run shell commands. Tools: create_draft (html in → file written under ~/.marigold-local/drafts/ → browser opens), open_draft, update_draft (tab live-reloads), get_feedback (with waitSeconds it blocks until the reviewer hits "Send feedback to agent"), reply_to_comment, resolve_comment, read_draft.
Claude Desktop registration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "marigold-draft": { "command": "/opt/homebrew/bin/node", "args": [" /packages/local/dist/cli.cjs", "mcp"] } } }
For Claude Code, a marigold-draft skill (~/.claude/skills/marigold-draft/) teaches the agent the CLI loop — saying "spin up marigold draft" in chat does the whole thing. (The binary answers to both marigold-local and marigold-draft.)
Any MCP-capable assistant can drive the loop — the server spawns as { command: "marigold-draft", args: ["mcp"] }. And any assistant that can run shell commands can skip MCP entirely and use the CLI directly (add the AGENTS.md snippet that agent-setup prints so it knows the loop). Registration per assistant:
~/.codex/config.toml: [mcp_servers.marigold-draft] with command = "marigold-draft" and args = ["mcp"] (or codex mcp add marigold-draft -- marigold-draft mcp). Reads AGENTS.md.opencode.json → "mcp": { "marigold-draft": { "type": "local", "command": ["marigold-draft", "mcp"], "enabled": true } }. Reads AGENTS.md.~/.gemini/config/mcp_config.json) → "mcpServers": { "marigold-draft": { "command": "marigold-draft", "args": ["mcp"] } }. Reads AGENTS.md / .agents/rules/*.md.GUI apps may not inherit your shell PATH; if the server won't start, use the absolute path from which marigold-draft. Full copy-pasteable snippets and the AGENTS.md block: /draft/setup.md.
The daemon persists a docId→path registry (~/.marigold-local/docs.json) and lazily re-opens docs on demand, so browser tabs survive daemon restarts; the shell shows an inline banner while the daemon is unreachable and reconnects automatically. Comments live in the sidecar and are never lost with the daemon.
src/server.ts): node:http on 127.0.0.1. Watches each opened file; on change re-instruments, re-anchors every comment (marigoldId → css → textQuote, orphaning what can't resolve), bumps the version and pushes an SSE reload to the tab.src/shell.ts): vanilla-JS port of the prod viewer (apps/web/.../viewer-client.tsx) — same postMessage protocol, same anchor agent inside a sandbox="allow-scripts" iframe, same marigold styling. The frame gets the same CSP as the prod render origin, so a draft that works locally renders identically in cloud Marigold.GET /api/docs/:id/wait?since= long-poll; Send feedback persists the round to the sidecar, then resolves waiters. The since cursor closes the submit-before-wait race.applyInlineEdits) write through to the source file; fragment drafts are unwrapped back to fragments so the file stays clean.pnpm --filter @marigold/local test
marigold-draft sends anonymous usage counts on five actions (draft.opened, feedback.submitted, listen.started, share.cloud, agent-setup.run). The entire payload per event is:
{ "event": "draft.opened", "version": "0.9.0", "platform": "darwin", "nodeMajor": 22 }
No arguments, paths, file names, doc content, hostname, username, locale, or hardware info — and no client-side identifier of any kind: nothing is persisted to identify your machine. Approximate unique counts come from a salted, truncated server-side hash of the request IP (never reversible, raw address never stored) — the same posture as every anonymous signal on marigold.page.
Turn it off any of these ways (any one wins):
marigold-draft telemetry off (persisted; on/status also available)MARIGOLD_TELEMETRY=0DO_NOT_TRACK=1 (the console.dev standard)MARIGOLD_TELEMETRY_DEBUG=1 prints every payload to stderr as it is sent. Sends are fire-and-forget with a 1.5s cap and can never slow, block, or break a command. The implementation is src/telemetry.ts — audit it. If you point MARIGOLD_ORIGIN at a self-hosted instance, pings go there, not to us.
MIT — free forever. See LICENSE. Source on GitHub: github.com/immuneeb/marigold-collab (directory packages/local).