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BrowserMCP Server

Browser automation MCP server and Chrome extension that lets AI applications control a connected tab in the user's existing browser profile.

by BrowserMCP · submitted by oktofeesh1·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://docs.browsermcp.io, https://github.com/BrowserMCP/mcp, https://browsermcp.io
Brand
BrowserMCP
Brand domain
browsermcp.io
Brand asset source
brandfetch
Safety notes
BrowserMCP can navigate pages, click controls, type text, submit forms, capture screenshots, inspect accessibility snapshots, read console logs, and automate the connected tab., Because it uses the user's real browser profile, logged-in sessions and account permissions may be available to the agent., Require human approval before purchases, messages, account changes, destructive actions, or actions that violate a site's terms., Use a test profile or non-production account for end-to-end testing and repetitive automation.
Privacy notes
Connected tab content, screenshots, form fields, console logs, and page state may be exposed to the MCP client and model., Logged-in pages can contain personal data, customer information, credentials, tokens, internal URLs, or private documents., Although the project describes local automation, prompts and tool results still flow through the chosen AI application and model provider.
Author
BrowserMCP
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-05

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first.

0/5 ready
Account & credentials1Install & runtime3General110 minutes

Safety & privacy surface

Safety & privacy surface

4 safety and 3 privacy notes across 5 risk areas. Review closely: credentials & tokens, third-party handling.

5 areas
  • SafetyData retentionBrowserMCP can navigate pages, click controls, type text, submit forms, capture screenshots, inspect accessibility snapshots, read console logs, and automate the connected tab.
  • SafetyCredentials & tokensBecause it uses the user's real browser profile, logged-in sessions and account permissions may be available to the agent.
  • SafetyExecution & processesRequire human approval before purchases, messages, account changes, destructive actions, or actions that violate a site's terms.
  • SafetyLocal filesUse a test profile or non-production account for end-to-end testing and repetitive automation.
  • PrivacyData retentionConnected tab content, screenshots, form fields, console logs, and page state may be exposed to the MCP client and model.
  • PrivacyCredentials & tokensLogged-in pages can contain personal data, customer information, credentials, tokens, internal URLs, or private documents.
  • PrivacyThird-party handlingAlthough the project describes local automation, prompts and tool results still flow through the chosen AI application and model provider.

Safety notes

  • BrowserMCP can navigate pages, click controls, type text, submit forms, capture screenshots, inspect accessibility snapshots, read console logs, and automate the connected tab.
  • Because it uses the user's real browser profile, logged-in sessions and account permissions may be available to the agent.
  • Require human approval before purchases, messages, account changes, destructive actions, or actions that violate a site's terms.
  • Use a test profile or non-production account for end-to-end testing and repetitive automation.

Privacy notes

  • Connected tab content, screenshots, form fields, console logs, and page state may be exposed to the MCP client and model.
  • Logged-in pages can contain personal data, customer information, credentials, tokens, internal URLs, or private documents.
  • Although the project describes local automation, prompts and tool results still flow through the chosen AI application and model provider.

Prerequisites

  • Node.js installed for the MCP server.
  • Chrome or compatible Chromium browser.
  • BrowserMCP extension installed from the project site.
  • MCP client such as Claude, Cursor, VS Code, Windsurf, or another compatible host.
  • Dedicated browser profile or tab for agent automation when working with sensitive accounts.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
beginner
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "browsermcp": {
      "command": "npx",
      "args": ["@browsermcp/mcp@latest"]
    }
  }
}

About this resource

Content

BrowserMCP is a browser automation MCP server paired with a Chrome extension. It lets AI applications such as Claude, Cursor, VS Code, and Windsurf automate a connected tab in the user's existing browser profile rather than launching a fresh browser instance.

The project emphasizes local automation, reuse of the user's current browser profile, and workflows where an AI assistant can test web apps or automate repetitive browser tasks.

Source Review

These sources were reviewed on 2026-06-05. Prefer the live docs for current extension installation, server config, supported clients, and troubleshooting.

Features

  • Chrome extension plus local MCP server package.
  • Setup examples for Claude, Cursor, VS Code, Windsurf, and other MCP clients.
  • Connected-tab automation using the user's existing browser profile.
  • Navigation, back/forward, wait, keyboard input, click, hover, drag and drop, text entry, accessibility snapshots, screenshots, and console-log tools.
  • Local automation designed to reduce network latency.
  • Useful for browser task automation and end-to-end testing workflows.

Installation

Install and pin the BrowserMCP extension from the project site, then add the MCP server to your AI application:

{
  "mcpServers": {
    "browsermcp": {
      "command": "npx",
      "args": ["@browsermcp/mcp@latest"]
    }
  }
}

Open the extension, click Connect on the tab you want the agent to control, and then issue browser automation requests through your MCP client.

Use Cases

  • Let an AI coding assistant run end-to-end checks against a local web app.
  • Automate repetitive browser tasks in a controlled profile.
  • Capture screenshots and accessibility snapshots for UI debugging.
  • Reproduce user flows that require an existing logged-in browser session.
  • Test form filling, navigation, and client-side behavior from an AI editor.

Safety and Privacy

BrowserMCP is convenient because it uses a real browser profile, but that also makes it sensitive. Prefer a dedicated testing profile, keep unrelated accounts closed, and require approval for submissions, payments, account updates, data deletion, or communication with other people.

Treat connected-tab content, screenshots, console output, and form fields as sensitive. They can contain personal data, credentials, customer records, or internal application state.

Duplicate Check

content/mcp/playwright-mcp-server.mdx covers Playwright-driven browser automation, content/mcp/chrome-devtools-mcp-server.mdx covers the official Chrome DevTools server, and content/mcp/chrome-mcp-server.mdx covers the separate hangwin/mcp-chrome extension bridge. This entry covers the BrowserMCP/mcp project and its BrowserMCP extension workflow.

Source citations

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How it compares

BrowserMCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Browser automation MCP server and Chrome extension that lets AI applications control a connected tab in the user's existing browser profile.

Open dossier

Chrome extension-based MCP server that exposes an existing Chrome browser profile to AI assistants for tab management, page content, screenshots, interaction, history, bookmarks, and network inspection.

Open dossier

Browser-control MCP server and CLI that lets AI agents use a real Chrome session, including logged-in browser state, site adapters, DOM snapshots, authenticated fetches, network traces, screenshots, and page actions.

Open dossier

Mozilla-maintained MCP server for automating Firefox through WebDriver BiDi, with tools for page navigation, snapshots, UID-based input, screenshots, network requests, console messages, dialogs, history, viewport changes, optional JavaScript evaluation, privileged Firefox contexts, preferences, and WebExtension.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandBrowserMCP logoBrowserMCP
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorBrowserMCPhangwinepiralMozilla
Added2026-06-052026-06-052026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesBrowserMCP can navigate pages, click controls, type text, submit forms, capture screenshots, inspect accessibility snapshots, read console logs, and automate the connected tab. Because it uses the user's real browser profile, logged-in sessions and account permissions may be available to the agent. Require human approval before purchases, messages, account changes, destructive actions, or actions that violate a site's terms. Use a test profile or non-production account for end-to-end testing and repetitive automation.This server controls the user's existing Chrome browser profile and can reuse logged-in sessions. Tools can navigate pages, click elements, fill forms, inspect tabs, capture screenshots, inspect network traffic, read history, manage bookmarks, and inject scripts. Use a dedicated browser profile for agent work and avoid sensitive accounts unless the workflow explicitly requires them. Do not allow agents to submit forms, make purchases, change account settings, or perform irreversible actions without human approval. The project describes itself as early-stage and under active development; test carefully before relying on it for critical workflows.bb-browser can control a real browser session, inspect pages, click elements, fill inputs, evaluate JavaScript, fetch URLs with browser authentication, capture screenshots, and inspect network traffic. Commands may act as the logged-in user on social, finance, job, developer, shopping, and knowledge websites. Keep the daemon bound to trusted local interfaces unless you deliberately configure remote access through a private network. Review community site adapters before using them with authenticated accounts or valuable sessions. Require human approval before posting, submitting forms, changing account settings, applying to jobs, making purchases, or running destructive site actions.Browser pages can contain prompt-injection text in visible content, hidden HTML, ARIA labels, console output, network responses, or page metadata. The server can navigate pages, click, hover, fill forms, drag, upload files, accept dialogs, dismiss dialogs, go through history, change viewport size, close tabs, and restart Firefox. Enabling evaluate_script allows arbitrary JavaScript in page context; compromised instructions could read page data, modify the DOM, or interact with accessible browser APIs. Enabling privileged context tools with the required Firefox system-access environment variable can expose privileged Firefox APIs and may extend beyond web-content sandbox boundaries. Connect-existing mode can attach to a real browsing session with cookies, logins, active tabs, history, and saved state, so avoid it unless the profile is dedicated to automation. Accepting insecure certificates weakens TLS validation and can hide man-in-the-middle or misconfiguration signals.
Privacy notesConnected tab content, screenshots, form fields, console logs, and page state may be exposed to the MCP client and model. Logged-in pages can contain personal data, customer information, credentials, tokens, internal URLs, or private documents. Although the project describes local automation, prompts and tool results still flow through the chosen AI application and model provider.Open tabs, page content, screenshots, browsing history, bookmarks, cookies/session-derived page state, and network request metadata may be exposed to the MCP client and model. Screenshots and network responses can contain credentials, personal data, customer data, tokens, and private documents. Browser automation prompts may reveal personal browsing habits, internal applications, and authenticated service access.Tab URLs, titles, DOM snapshots, page content, selected elements, screenshots, network requests, responses, console output, traces, and authenticated fetch results may be exposed to the MCP client and model. Browser login state is used by the page and browser; even if cookies are not extracted directly, commands can act through authenticated sessions. Network request bodies and response data may contain tokens, account data, personal messages, search history, customer information, or internal application data. The upstream privacy doc says communication is local and there is no telemetry or external server, but model providers still receive any data your MCP client sends in prompts or tool results.Page content, DOM snapshots, accessibility labels, console messages, network requests, headers, screenshots, uploaded file paths, extension names, Firefox prefs, and browser logs can be sent to the MCP client and model. A regular Firefox profile can expose cookies, saved sessions, browsing history, account data, extensions, and private tabs to browser automation. Screenshot save paths, uploaded files, downloaded artifacts, and model transcripts can reveal local project names, test data, credentials shown on pages, or customer information. Use a separate profile, minimize enabled capabilities, avoid sensitive sites, and review provider/browser data handling before automating logged-in sessions.
Prerequisites
  • Node.js installed for the MCP server.
  • Chrome or compatible Chromium browser.
  • BrowserMCP extension installed from the project site.
  • MCP client such as Claude, Cursor, VS Code, Windsurf, or another compatible host.
  • Node.js 20 or newer and npm or pnpm.
  • Chrome or Chromium browser.
  • Latest Chrome MCP extension release from the project repository.
  • Globally installed mcp-chrome-bridge package.
  • Node.js 18 or newer.
  • Chrome session, local daemon, and Chrome extension or supported OpenClaw browser path configured according to the upstream README.
  • MCP client such as Claude Code, Codex, Cursor, or another compatible host.
  • Explicit approval to let an agent use the active browser's logged-in state.
  • Node.js 20.19.0 or newer.
  • Local Firefox 100 or newer, or an explicit Firefox binary path passed through the documented CLI option.
  • A dedicated Firefox automation profile with no personal cookies, saved passwords, or regular browsing sessions.
  • Optional adb and Firefox for Android setup when using Android automation mode.
Install
npx @browsermcp/mcp@latest
npm install -g mcp-chrome-bridge
npx -y bb-browser --mcp
npx -y firefox-devtools-mcp@latest
Config
{
  "mcpServers": {
    "browsermcp": {
      "command": "npx",
      "args": ["@browsermcp/mcp@latest"]
    }
  }
}
{
  "mcpServers": {
    "chrome-mcp-stdio": {
      "command": "node",
      "args": ["/ABSOLUTE_PATH_TO/mcp-server-stdio.js"]
    }
  }
}
{
  "mcpServers": {
    "bb-browser": {
      "command": "npx",
      "args": ["-y", "bb-browser", "--mcp"]
    }
  }
}
{
  "mcpServers": {
    "firefox-devtools": {
      "command": "npx",
      "args": [
        "-y",
        "firefox-devtools-mcp@latest",
        "--headless",
        "--viewport",
        "1280x720"
      ],
      "env": {
        "START_URL": "about:home",
        "FIREFOX_HEADLESS": "true"
      }
    }
  }
}
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