"Automating web browser searches using Chrome" matching MCP servers:

Enables JavaScript-rendered Google searches and readable text extraction from public URLs via a real Chrome instance, along with health and CAPTCHA status monitoring.

Enables controlling a local Chrome browser via MCP tools, using a Chrome extension and WebSocket broker for browser automation.

Enables AI agents to control a real, authenticated Chrome browser through native tools for navigation, DOM interaction, form filling, scraping, screenshots, and human-in-the-loop checkpoints while minimizing tokens and latency.

Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.

Enables AI agents to directly operate a user's local Chrome browser with full login state and cookies, supporting 23 tools such as tab management, clicking, typing, screenshots, file upload, and network inspection through natural language.

Enables looking up Chrome Web Store listing data — a single extension by its 32-character id, free-text search across extensions, and extensions attributed to a given publisher. Returns details such as name, rating, rating count, user count, version, last-updated date, category, and website.

An advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.

Enables web browsing capabilities using BeautifulSoup4

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Enables AI assistants to control Chrome browser for tab management, content extraction, and browser interactions via REST API.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

Enables browser automation via Chrome, allowing navigation, clicking, typing, screenshotting, and replayable flows for web tasks.

Records Chrome network requests and responses for LLM knowledge bases, and exposes query and browser control capabilities via MCP tools like list_sessions, navigate, and evaluate.

Enables direct browser control via Chrome DevTools Protocol, supporting navigation, interaction, content extraction, and screenshots through a single MCP tool.

A Model Context Protocol (MCP) server for browser automation using Playwright to control Chrome browsers.

MCP server + Chrome extension that drive the user's real, logged-in Chrome over a local WebSocket. 59 token-efficient web-dev tools: compact element refs instead of screenshots, server-side table filtering, visual regression, accessibility/SEO/security audits, network mocking. Also runs on ChromeOS/Crostini.

Enables controlling a real Chrome browser from MCP hosts like Claude, with extension-based or CDP fallback, supporting tabs, navigation, interaction, and page reading tools.

Exposes a live Chrome browser to any MCP client through a single local endpoint, enabling real-tab control, DOM interaction, cookies and session use, network/console capture, PDF export, and CDP-powered debugging.

Enables AI assistants to control and inspect a live Chrome browser for automated web debugging, performance analysis, and Lighthouse audits. It allows agents to capture screenshots, monitor network requests, and measure Core Web Vitals using plain-English prompts.

Enables MCP clients to directly operate your existing logged-in Chrome profiles, including cookies and extensions, without re-authentication or a headless browser. It provides tools for managing tabs, navigating, reading pages, clicking, typing, and launching profiles.