Marigold
概览
作者提供的说明(英文原文)
Comment on AI-generated webpages; feedback flows back to your coding agent. Free, MIT, local-first.
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 电脑或云端
- 传输方式: stdio, Streamable HTTP
- 分类: 开发者工具
安装
选择你使用的 AI 应用,然后复制设置。
通过 4/4 项检查 · 你的提问会经过开发者的服务器(marigold.page)
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“+ Add” → “Add custom connector”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称MarigoldRemote MCP server URL · 地址https://marigold.page/api/mcpAuthentication 保持 Claude 检测到的设置,然后点击 Add
在聊天中开启
+ConnectorsMarigold
试一试
用 Marigold 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Marigold,或回答中出现 Marigold 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
仅企业版 ChatGPT 可连接
适用于网页版 ChatGPT Business、Enterprise 或 Edu,需由工作区管理员或所有者添加 · 使用 Free、Plus 或 Pro:你的 ChatGPT 方案暂时无法自行连接 MCP
在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
填写名称和地址
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Name · 名称MarigoldConnection · 地址https://marigold.page/api/mcp在聊天中选择 Marigold
开启新聊天,输入前先从插件列表中选择 Marigold
试一试
用 Marigold 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Marigold,或回答中出现 Marigold 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http marigold https://marigold.page/api/mcp在 Claude Code 中输入 /mcp
应能看到 Marigold 在列表中并显示已连接
试一试
用 Marigold 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Marigold,或回答中出现 Marigold 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Marigold 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Marigold,或回答中出现 Marigold 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Marigold 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Marigold,或回答中出现 Marigold 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://marigold.page/api/mcpJSON 设置在下方“开发者专用”中
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http marigold https://marigold.page/api/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"marigold": {
"url": "https://marigold.page/api/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"marigold": {
"type": "http",
"url": "https://marigold.page/api/mcp"
}
}
}安装在电脑上
Claude Code
claude mcp add marigold -- npx -y marigold-draft mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"marigold": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 immuneeb 验证,该账户拥有此仓库
- ✓ 通过
仍在维护
代码最后更新于4个月前
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 1585 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“开发者工具”中的其他服务器比较i
- 星标数多于此分类中其他 5748 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5748 个服务器的 24% 更新
- 基础检查结果等于或优于此分类中其他 5748 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Marigold 安全吗?
它在 4 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于4个月前,最新版本(0.9.1)于4个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。
有什么可以替代它?
同一分类中有:REA, Netdata, Front-End Checklist
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Marigold — local drafts (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.
Install
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.
The loop (what an agent runs)
# 1. write draft.html (full document or fragment — fragments get a neutral wrapper)
marigold-draft open draft.html --json # opens the browser tab, BLOCKS
2. reviewer comments / edits in place / hits "Send feedback to agent"
→ the open call prints the review JSON (openComments with anchoredText,
overallComment, per-comment replies) and exits
3. edit draft.html — the tab live-reloads, comments re-anchor
marigold-draft reply draft.html c1 "Bumped the chart to 34px" marigold-draft resolve draft.html c1
4. next round (tab already connected, so no new browser tab):
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.
Sharing & graduating to hosted Marigold
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
- Instant share link, no account.
sharePOSTs 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.sharealso prints a claim link. - Keep it / control access. Open the claim link and sign in: the doc moves into your account (the quick link is burned), and you can share it by email at viewer / commenter / editor roles, with kept version history. For ongoing agent work on a claimed doc, point your agent at the hosted MCP endpoint,
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.
CLI
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)
MCP server (Claude Desktop and other chat clients)
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.)
Other coding assistants
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 CLI —
~/.codex/config.toml:[mcp_servers.marigold-draft]withcommand = "marigold-draft"andargs = ["mcp"](orcodex mcp add marigold-draft -- marigold-draft mcp). ReadsAGENTS.md. - opencode —
opencode.json→"mcp":{ "marigold-draft": { "type": "local", "command": ["marigold-draft", "mcp"], "enabled": true } }. ReadsAGENTS.md. - Google Antigravity — Settings → Customizations → *Open MCP Config* (
~/.gemini/config/mcp_config.json) →"mcpServers":{ "marigold-draft": { "command": "marigold-draft", "args": ["mcp"] } }. ReadsAGENTS.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.
Resilience
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.
How it works
- 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 SSEreloadto the tab. - Shell (
src/shell.ts): vanilla-JS port of the prod viewer (apps/web/.../viewer-client.tsx) — same postMessage protocol, same anchor agent inside asandbox="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. - Handoff:
GET /api/docs/:id/wait?since=long-poll; Send feedback persists the round to the sidecar, then resolves waiters. Thesincecursor closes the submit-before-wait race. - In-place edits (
applyInlineEdits) write through to the source file; fragment drafts are unwrapped back to fragments so the file stays clean.
Tests
pnpm --filter @marigold/local test
Telemetry
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/statusalso available)MARIGOLD_TELEMETRY=0DO_NOT_TRACK=1(the console.dev standard)- CI environments are skipped automatically
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.
License
MIT — free forever. See LICENSE. Source on GitHub: github.com/immuneeb/marigold-collab (directory packages/local).