Marigold
Overview
Description from the maker (original English)
Comment on AI-generated webpages; feedback flows back to your coding agent. Free, MIT, local-first.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi4 of 4 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 67/wk · ★ 0
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Computer or cloud
- Transport: stdio, Streamable HTTP
- Category: Developer tools
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 4 of 4 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://marigold.page/api/mcpOr run it on your computer
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add --transport http marigold https://marigold.page/api/mcpOr run it on your computer
claude mcp add marigold -- npx -y marigold-draft mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"marigold": {
"url": "https://marigold.page/api/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"marigold": {
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"marigold": {
"type": "http",
"url": "https://marigold.page/api/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"marigold": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"marigold-draft",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://marigold.page/api/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
What it can do
The server asks you to sign in before it lists its tools.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account immuneeb, which owns the repo
- ✓ Pass
Still maintained
Code last changed 4 months ago
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 1585 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Developer toolsi
- More stars than 0% of the other 5724 servers in this category
- Published to the registry more recently than 24% of the other 5724 servers in this category
- Basic checks equal to or better than 100% of the other 5724 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Marigold safe?
It passed 4 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
Either way works: install it on your computer or connect to the cloud version.
Is it still maintained?
The GitHub repo last changed 4 months ago, and the latest version (0.9.1) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: REA, Netdata, Front-End Checklist
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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).