GitDiagram
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Comment on AI-generated webpages; feedback flows back to your coding agent. Free, MIT, local-first.
Pick the AI app you use, then copy the settings.
Passed 5/5 checks · What you ask goes through the maker’s server (marigold.page) · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
CustomizeConnectors
Copy each value into the field with the same name in Claude, then click Continue
Marigoldhttps://marigold.page/api/mcpClick Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
+ConnectorsMarigold
Use Marigold and tell me what you can do for me, then show me one thing✓ If Claude says it is using Marigold or shows a Marigold tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT, depending on your plan
Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only
Plugins+Add custom MCP server
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Marigoldhttps://marigold.page/api/mcpStart a new chat and pick Marigold from your plugins before typing
Use Marigold and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using Marigold or shows a Marigold tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --transport http --scope user marigold https://marigold.page/api/mcpYou should see Marigold listed as connected
Use Marigold and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Marigold or shows a Marigold tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Use Marigold and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Marigold or shows a Marigold tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Use Marigold and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Marigold or shows a Marigold tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
https://marigold.page/api/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user 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"
}
}
}Claude Code
claude mcp add --scope user 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"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: marigold-draftBased 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
The server asks you to sign in before it lists its tools.
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 15, 2026
The registry name was verified with the GitHub account immuneeb, which owns the repo
Code last changed 4 months ago
Uses MIT
Responded in 1585 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Not checked yet
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 5 of 5 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed 4 months ago, and the latest version (0.9.1) reached the registry 4 months ago.
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 on the web (full MCP on Business and above; Pro read-only).
In the same category: GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.
Cloudflare MCP servers
Deploy durable AI agents with Omnara, an open-source managed-agent platform.
Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.
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-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).