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

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    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
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    Enables AI coding assistants to control and inspect a live Chrome browser through DevTools for automated testing, performance analysis, debugging, and web scraping. Provides reliable browser automation using Puppeteer with comprehensive DevTools access.
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    Apache 2.0
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    Enables AI coding assistants to control and inspect a live Chrome browser for automated debugging, performance analysis, and web interaction. It leverages Puppeteer and Chrome DevTools to provide capabilities like network monitoring, console logging, and automated browser actions.
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    Apache 2.0
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    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.
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    382,967
    Apache 2.0
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    A Chrome extension-based Model Context Protocol server that enables AI assistants to control your browser, leveraging your existing configurations and login states for complex automation, content analysis, and semantic search.
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    11,195
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    Enables AI assistants to control and automate your Chrome browser directly, leveraging existing login states and configurations for tasks like content analysis, semantic search across tabs, screenshots, network monitoring, and interactive operations.
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    Enables interaction with Chromium browser instances through Puppeteer for inspecting dev builds, capturing screenshots, and automating UI interactions. Features permission-gated tools for secure browser navigation, DOM manipulation, and JavaScript evaluation.
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    A Model Context Protocol server that enables AI assistants to control Chrome browsers through the Chrome DevTools Protocol, allowing for navigation, clicking, typing, and extracting page information.
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    An extension-based MCP server that enables AI assistants to control your browser, leveraging existing sessions and login states for automation and content analysis. It provides over 20 tools for semantic tab search, interactive element manipulation, and network monitoring directly within your daily Chrome environment.
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    MIT
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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    An MCP server for browser automation using Puppeteer that enables AI assistants to navigate web pages, interact with UI elements, and capture screenshots. It supports comprehensive web tasks including form filling, content extraction, and executing custom JavaScript within the browser context.
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    MIT
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    An MCP server for stealth browser automation that uses human-like interaction patterns to bypass bot detection via the Chrome DevTools Protocol. It enables users to navigate, interact with elements, and capture data from websites using undetectable behaviors like Bezier mouse movements and Gaussian typing delays.
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    276
    MIT
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    An extension-based MCP server that enables AI assistants to control your existing Chrome browser, leveraging your active login states and settings for automation. It provides over 20 tools for tasks like semantic tab search, screen capture, network monitoring, and direct element interaction.
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    MIT
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    chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).
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    An MCP server for comprehensive browser automation and full local PC control via shell commands and Python execution. It enables tasks like web navigation, file system management, and remote access through SSE with token authentication.
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    MIT
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    Enables web searching through Google, DuckDuckGo, and Bing using a headless Chrome browser, returning structured results with titles, URLs, and snippets. Also supports fetching and extracting text content from any webpage.
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    touch-browser is an evidence-grounded MCP server for public docs and research web workflows. It helps AI agents search and open web pages, extract page-local evidence with citations and confidence bands, classify browsing risk, and synthesize multi-page sessions into citation-ready reports.
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    Mozilla Public 2.0
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    A universal browser automation server featuring 63 tools for programmatic Chrome control, multi-tab management, and media interaction using Playwright. It enables advanced actions like session recording, performance profiling, and pixel-based interaction through a safe, isolated browser profile.
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    An MCP server that enables AI assistants to perform web searches on Perplexity.ai using browser automation instead of an official API. It supports persistent authenticated sessions and returns search results along with cited sources directly to the client.
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    An MCP server that allows users to interact with their browser through natural language commands, enabling actions like getting page content as markdown, modifying page styles, and searching browser history.
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    This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
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    7,190
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    Enables AI agents to search DuckDuckGo and fetch web content with human-assisted CAPTCHA handling, designed for local use where humans can intervene when bot detection occurs.
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    Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.
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    Bridges browser content, developer tools data, and web page interactions with Claude through MCP. Enables page inspection, DOM analysis, JavaScript execution, console monitoring, network activity tracking, and screenshot capture across multiple browser tabs.
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    MIT
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    Enables AI agents to navigate the web visually using screenshot-based interaction and Set-of-Mark labeling for interactive elements. It supports humanized browsing behaviors, anti-detection measures, and complex tasks like multi-click CAPTCHA solving.
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    6
    MIT