Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
Beschreibung vom Entwickler (englisches Original)
Drive and scrape your existing Chrome profile from any AI assistant — no headless browser.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"poltertab": {
"command": "npx",
"args": [
"-y",
"poltertab"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add poltertab -- npx -y poltertabIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"poltertab": {
"command": "npx",
"args": [
"-y",
"poltertab"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"poltertab": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"poltertab"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto abhinav162 bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.12.0) kam vor 12 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Browser Use, Chrome DevTools MCP, MCP Server Browser
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Let any AI agent use the Chrome you're already logged into. PolterTab is a Chrome extension plus a local MCP (Model Context Protocol) server.
A Chrome extension + Model Context Protocol (MCP) server. The AI acts inside the browser you already use: your real profile, your cookies, your logged-in sessions. Install the extension, point your MCP client at the server, done — it works with Claude Desktop, Cursor, or any MCP-compatible agent.
Any MCP Agent (Claude Desktop, Cursor, custom agents)
│ Stdio (MCP Protocol) ▼ Node.js MCP Server (mcp-server/index.js) │ WebSocket (port 7822 by default) ▼ PolterTab Chrome Extension │ Chrome APIs + DOM ▼ Your existing Chrome profile
Several agents can point at the same browser at once — the first server to claim the WebSocket port serves the extension and the rest proxy through it. See Running several agents at once.
PolterTab runs entirely on your machine. There is no PolterTab server, account, or telemetry.
127.0.0.1 and ::1, port 7822 by default). The server refuses connections from web pages — browser connections must come from a Chrome extension (chrome-extension://) origin — and only the Chrome Web Store build (trusted automatically) or an extension you have paired can hold that connection, change upload settings, or read the logs. (architecture)browser_upload_file refuses every path until you add a folder with poltertab uploads allow , and sensitive locations are always blocked and cannot be allowlisted. Run poltertab uploads to see the current list.npm publish --provenance, so npm records a signed, verifiable link from the published tarball back to the GitHub Actions build that produced it.registry.npmjs.org); poltertab setup additionally does a one-time Chrome Web Store version lookup (clients2.google.com). Both only compare versions to warn about a server/extension mismatch — no page content or personal data is sent. Turn both off with POLTERTAB_NO_UPDATE_CHECK=1.From 1.12.0, only the Chrome Web Store extension or one you have paired can control the browser; an unpacked install pairs once with
poltertab uploads pair.
To report a vulnerability, see SECURITY.md.
Requires Node 18 or newer.
npm install -g poltertab
poltertab setup
The wizard asks whether to install for all projects or just the current one, then puts three things in place:
browser-navigation-strategy skill, so the agent knows how to drive a browser that fights backCLAUDE.md section, so it knows the tools existclaude mcp addIt is safe to re-run — each step detects its own prior work, so an upgrade or a second pass will not duplicate anything.
Prefer not to install globally? npx poltertab setup does the same thing.
[Add to Chrome](https://chromewebstore.google.com/detail/poltertab-browser-control/lcijocampajjmennelacdfehmhndfmbd) from the Chrome Web Store. Chrome keeps a Store extension up to date on its own, so this is the install path for everyone who is not developing the extension itself.
Then restart your AI tool so it picks up the new tools.
Or load it unpacked (developer / offline path)
Use this when you are changing the extension or cannot reach the Web Store. An unpacked extension never updates on its own; you reload it from a newer zip yourself.
unzip poltertab-extension-vX.zip -d poltertab-extension, or double-click on macOS — which creates a folder automatically)chrome://extensions/manifest.json)poltertab uploads pair and enter the 4-character code the extension shows. (Store installs are trusted automatically and skip this.)The wizard targets Claude Code. Any other MCP client works too — register poltertab as a stdio command:
{
"mcpServers": { "poltertab": { "command": "poltertab" } } }
Using [Cursor](https://cursor.com)? One-click install (adds the stdio entry above):
Running from a clone instead of npm? Point the client at the file directly: {"command": "node", "args": ["/absolute/path/to/poltertab/mcp-server/index.js"]}
The server exposes 28 tools to the LLM (all prefixed with browser_). Every page-facing tool also takes optional tabId and session to target a specific tab — omit both and PolterTab uses the agent's current tab: the last one it navigated, opened or switched to. The first browser_navigate (and the first browser_navigate of each new session) opens its own tab rather than commandeering the one you are looking at.
| Action | Parameters | Description |
|---|---|---|
browser_navigate | url (required) | Navigate to a URL |
browser_click | selector (required) | Click an element (CSS/XPath/text) |
browser_fill | selector, value (required), submit | Fill an input field, optionally submitting its form |
browser_hover | selector (required) | Hover over an element |
browser_scroll | direction (required), amount, selector | Scroll page or element — up/down/left/right/top/bottom |
browser_smart_scroll | direction (required), amount | Scroll, then wait 2s for lazy-loaded network data to arrive |
Every tool here takes output_file, which writes the payload to ~/.poltertab/downloads/ and returns only a summary — row count, field names, fill rates and two sample records. Use it for anything bigger than a glance; the raw payload should never be the default path into a context window.
| Action | Parameters | Description |
|---|---|---|
browser_extract | record, fields (required), anchor, max_text, probe, output_file | Repeating records with fields grouped per record — see below |
browser_extract_all | url_template, record, fields (required), key, limit, offset, start_page, max_pages, fill_tolerance, output_file | Paginate and extract in one call, no model round-trip per page |
browser_scrape | selector, attribute, multiple, fields, max_text, output_file | Scrape given elements, or the whole page. attribute accepts text as well as any attribute name; href/src come back absolute. fields picks which parts of a full-page scrape to return — ["meta","jsonld"] gets og: tags and schema.org blobs without 50KB of body text |
browser_snapshot | interactive_only, max_nodes, max_depth, output_file | Ref-tagged tree of visible and interactive nodes, capped at 400 |
browser_get_text | selector (required), max_text, output_file | Text content of one element. Flags it in the result when text was cut |
browser_get_title | — | Page title and URL |
browser_get_url | — | Page URL and title |
browser_screenshot | — | Visible tab as base64 PNG (focuses the tab) |
browser_scrape returns a flat list, which loses track of which value belongs to which record. That is fine for one element and dangerous for ninety: the moment a field is optional, a flat scrape of names against phone numbers shifts every later phone up a row and mis-assigns the rest of the page.
browser_extract takes a record container and resolves each field *inside* it:
{
"record": ".agent-card", "fields": { "name": { "sel": "a.agent-card-name", "get": "text" }, "url": { "sel": "a.agent-card-name", "get": "href" }, "phone": { "sel": "a[href^='tel:']", "get": "href", "strip": "tel:" }, "socials": { "sel": "a.social-button", "get": "href", "many": true } }, "anchor": "url", "output_file": "agents.csv" }
sel is relative to the record root; omit it (or use ".") for the root itself.get is text (default), href, src, or any attribute name.anchor names the field a real record always has. Records missing it — the placeholder cards that pad the last page of a listing — are dropped and counted in dropped rather than emitted as rows of nulls.The result reports what happened, so an empty column cannot pass for an answer:
{ "count": 12, "dropped": 0,
"fill_rates": { "name": 12, "phone": 10, "socials": 0 }, "warnings": ["socials: 0/12 within record scope, but 40 matches page-wide for a.social-button — record boundary likely too narrow"] }
That warning is the loosening probe. Any field that comes back entirely empty is re-checked page-wide, because the container that *looks* like the record often excludes a sibling holding some of the fields — and "0 socials" reads as "these people have no social accounts" rather than "your selector scope is wrong".
`browser_extract_all` takes the same spec plus a url_template containing {page}, and runs the loop itself. It dedups on key and halts on the first of: limit_reached, empty_page, duplicate_page (a page whose records repeat an earlier one — what a site does when it ignores an unrecognised page-size param), fill_rate_deviation (a page whose fill rates collapse against the first page's baseline, which is how a spec learned on page 1 quietly degrades on page 10), or max_pages. It always reports which condition fired and returns everything collected up to that point, so a halt never costs you the run.
.csv and .jsonl output files are written in those formats.
For sites whose DOM is obfuscated or virtualized, read the JSON driving the UI instead of scraping elements that may not exist.
| Action | Parameters | Description |
|---|
| `browser_set_intercept_p
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