Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Clone any web page from a URL into a verified offline HTML copy, embed, or rebuild.
Pick the AI app you use, then copy the settings.
Passed 5/5 checks · What you ask goes through the maker’s server (webembedding-jongkos-mcp.vercel.app) · ✓ 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
webEmbeddinghttps://webembedding-jongkos-mcp.vercel.app/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
+ConnectorswebEmbedding
Use webEmbedding and tell me what you can do for me, then show me one thing✓ If Claude says it is using webEmbedding or shows a webEmbedding 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
webEmbeddinghttps://webembedding-jongkos-mcp.vercel.app/mcpStart a new chat and pick webEmbedding from your plugins before typing
Use webEmbedding and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using webEmbedding or shows a webEmbedding 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 web-embedding https://webembedding-jongkos-mcp.vercel.app/mcpYou should see webEmbedding listed as connected
Use webEmbedding and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using webEmbedding or shows a webEmbedding 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 webEmbedding and tell me what you can do for me, then show me one thing✓ If Cursor says it is using webEmbedding or shows a webEmbedding 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 webEmbedding and tell me what you can do for me, then show me one thing✓ If VS Code says it is using webEmbedding or shows a webEmbedding 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://webembedding-jongkos-mcp.vercel.app/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user web-embedding https://webembedding-jongkos-mcp.vercel.app/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"web-embedding": {
"url": "https://webembedding-jongkos-mcp.vercel.app/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"web-embedding": {
"type": "http",
"url": "https://webembedding-jongkos-mcp.vercel.app/mcp"
}
}
}Claude Code
claude mcp add --scope user web-embedding -- npx -y web-embedding mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"web-embedding": {
"command": "npx",
"args": [
"-y",
"web-embedding",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"web-embedding": {
"command": "npx",
"args": [
"-y",
"web-embedding",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"web-embedding": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"web-embedding",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: web-embeddingBased 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
Tool names and descriptions exactly as the server reported them on Nov 15, 2026. The maker wrote them, not us; we show them as plain text.
detect_runtime_capabilitiesReport hosted Apps SDK readiness, read-only runtime capabilities, unsupported capture behavior, and the local stdio command.
inspect_urlFetch a public or user-authorized URL and inspect title, metadata, frame policy, and likely source/embed candidates. Does not capture screenshots or persist artifacts.
discover_embed_candidatesExtract likely embed, preview, viewer, remix, and source URLs from a public or user-authorized page.
classify_clone_modeDecide whether a reference should be embedded, sourced, locally captured, bounded-rebuilt, or blocked before reproduction.
generate_embed_snippetGenerate an iframe snippet for a known frameable and authorized URL. Does not verify frameability by itself.
plan_reproduction_pathCreate a source-first plan that separates exact embed/source reuse from local capture and bounded rebuild work.
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 jongko54, which owns the repo
Code last changed 7 days ago
Uses MIT
No sign-in needed
Read 6 tool descriptions and found no hidden instructions to the AI
No entries on OSV.dev for web-embedding@0.3.13
Checks only this package version, not every dependency · checked Nov 15, 2026
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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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 7 days ago, and the latest version (0.3.13) reached the registry 7 days 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: Browser Use, changedetection.io (official), Apify MCP Server, Actionbook, Flowershow
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
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Official changedetection.io MCP: web page change tracking, back-in-stock and price alerts.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
Let your AI agent operate any website through a real, logged-in browser session.
Publish Markdown and HTML from your AI session as a live website. No account needed.
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.
webEmbedding clones any web page from its URL for AI coding agents. Give Claude Code, Codex, Cursor, or any MCP client a URL and it returns a verified clone: the original embed when the page allows it, otherwise a self-contained offline HTML snapshot (inlined CSS, shadow DOM, localized fonts and images) or a bounded rebuild, scored against desktop, tablet, and mobile screenshots of the live page.
Add it to your agent in one line:
claude mcp add web-embedding -- npx -y web-embedding@latest mcp # Claude Code
codex mcp add web-embedding -- npx -y web-embedding@latest mcp # Codex CLI
Then ask: *"Clone https://example.com into ./clone and tell me the fidelity score."* (Machine-readable summary for LLMs: llms.txt.)
webEmbedding is a source-first website cloning engine: it captures live pages with Playwright, replays network evidence from HAR artifacts, rebuilds only when direct reuse is blocked, and self-verifies the result.
It ships as a Skill + MCP server. Instead of asking a model to "clone this site" from a screenshot, it inspects the URL, chooses a reuse or rebuild route, captures DOM/runtime HTML/styles/assets/network traces, generates bounded frontend reconstruction artifacts, and checks the output with visual, DOM, computed-style, interaction, and responsive-breakpoint verification.
GitHub listing, social preview, and launch-copy recommendations are in docs/github-listing.md.
The current pipeline is strongest for static and semi-static web pages:
It is not a full backend or app-logic clone engine. Login-only screens, app-first or native-app-required services, captcha-heavy sites, maps, games, canvas/WebGL-heavy pages, real-time feeds, payments, booking flows, and private server behavior still need separate handling.
Operationally, the repo is now a production-candidate clone engine for URL-based capture and bounded reconstruction: jobs can be queued, network evidence can be replay-audited from HAR artifacts, authenticated dashboard runs can be driven from user-owned browser state, and local gates verify the route corpus, score checks, package contents, and CI wiring. The remaining hard boundary is server-side product behavior, not front-end evidence capture and reconstruction.
Local benchmark runs from this repo (scripts/check_clone_quality_bench.py, mobile + tablet breakpoints, 2026-10-28):
| URL | Path | Score | Wall time |
|---|---|---|---|
https://developer.mozilla.org/en-US/ | runtime snapshot | root 99, visual 100, mobile 99, tablet 99 | ~34 s |
https://lit.dev/ (web components / shadow DOM) | runtime snapshot | root 99, visual 100, mobile 98, tablet 98 | ~40 s |
https://www.mozilla.org/ | runtime snapshot | root 95, visual 100, mobile 95, tablet 95 | ~43 s (was ~160 s) |
https://www.python.org | runtime snapshot | root 98, visual 100, mobile 98, tablet 94 | ~226 s (was ~1011 s, failed at 73) |
https://www.example.com | exact reuse | ready yes | — |
These are generated by the local self-verify pipeline, not manually assigned ratings. Earlier bounded-rebuild previews embedded the reference screenshot, which inflated their visual score; the runtime snapshot renders real DOM and CSS, and every row above was also checked by side-by-side screenshot review. Known gap: layouts that page scripts compute for viewports other than the captured one (for example masonry footers) can still drift at tablet width. The reproducible commands and score thresholds are tracked in docs/benchmark-evidence.json. Production readiness gates are tracked in docs/production-pipeline-gates.json.
X-Frame-Options and CSP-blocked pages by rebuilding from captured evidencenetwork-replay-limited, auth-session-missing, public-app-gate, and canvas-visual-fallbackreplay_readiness before treating captured network evidence as replay-gradenetwork/manifest.json artifactsstorage_state_path or user_data_dir outside the repo1440x1200768x1024390x844The package uses playwright-core; it does not download a browser by itself.
Installing this project adds the source-first-clone plugin bundle, the exact-clone-intake skill, and the MCP server that exposes the URL inspection, capture, rebuild, and verification tools.
npm install -g web-embedding
web-embedding install web-embedding doctor
Clone a public URL after installing:
web-embedding clone \
--url https://developer.mozilla.org/en-US/ \ --output-dir ./.tmp/mdn-clone \ --wait-seconds 2 \ --timeout-seconds 35 \ --breakpoints mobile tablet
If you already have an older local plugin installed, overwrite it with:
web-embedding install --force
web-embedding doctor
You can also run the installer without a global install:
npx web-embedding install
For MCP clients that can launch npm stdio servers:
{
"mcpServers": { "source-first-clone": { "command": "npx", "args": ["-y", "web-embedding@latest", "mcp"] } } }
For local smoke testing:
npx web-embedding@latest mcp
The MCP Registry identity is io.github.jongko54/web-embedding; server.json and package.json#mcpName are kept in sync for registry ownership verification.
The public remote MCP intake endpoint for Apps SDK Developer Mode is:
https://webembedding-jongkos-mcp.vercel.app/mcp
It exposes low-risk source-first routing tools such as URL inspection, embed candidate discovery, clone-mode classification, and embed snippet generation. Full browser capture, HAR replay, queues, bounded rebuilds, and one-pass clone execution remain local-first through the stdio MCP package.
Apps SDK review pages are hosted alongside the endpoint: https://webembedding-jongkos-mcp.vercel.app/privacy.html, https://webembedding-jongkos-mcp.vercel.app/terms.html, and https://webembedding-jongkos-mcp.vercel.app/submission.html.
webEmbedding has two different execution boundaries:
http and https URLs, does not run Playwright, does not read local files, does not use browser profiles or storage state, and does not persist capture artifacts.output_dir or queue_root.storage_state_path or user_data_dir. webEmbedding does not collect credentials, perform login bypasses, or treat a public login shell as private app evidence.needs_session, or sent to manual review unless the user has explicit authorization and supplies the needed evidence.Local URL entrypoints reject non-HTTP schemes such as file:// so an agent cannot use clone/capture tools as a local file reader. Telemetry is disabled by default and, when enabled, excludes target URLs, local paths, captured HTML, screenshots, storage state, environment variables, API keys, and command output.
This repository includes marketplace metadata for the two local agent surfaces:
.agents/plugins/marketplace.json points to ./bundle/source-first-clone..claude-plugin/marketplace.json points to the same bundle and the bundle includes .claude-plugin/plugin.json.Claude Code users can add the marketplace from GitHub with:
/plugin marketplace add jongko54/webEmbedding
/plugin install source-first-clone@webembedding
AI auto-selection expectations and golden prompts live in docs/ai-distribution.md and evals/ai-selection/webembedding-golden-prompts.json.
curl -fsSL https://github.com/jongko54/webEmbedding/releases/latest/download/install.sh | bash
git clone https://github.com/jongko54/webEmbedding.git
cd webEmbedding npm install node ./bin/web-embedding.mjs install node ./bin/web-embedding.mjs doctor
Useful for testing without touching your real agent home:
python3 python/web_embedding/installer.py install --target-home ./.tmp/home
python3 python/web_embedding/installer.py doctor --target-home ./.tmp/home python3 python/web_embedding/installer.py uninstall --target-home ./.tmp/home
Telemetry is disabled by default. On an interactive first install, web-embedding install asks once and defaults to No. Non-interactive installs such as CI and curl | bash do not prompt. If you opt in, web-embedding sends a small anonymous command-completion event to a JSON POST endpoint you control. It does not send target URLs, local paths, captured HTML, screenshots, storage state, environment variables, API keys, or command output.
Enable it during install:
web-embedding install --telemetry --telemetry-endpoint https://your-collector.example/events
Or manage it later:
web-embedding telemetry enable --endpoint https://your-collector.example/events
web-embeddin