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

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

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 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 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 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.

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

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.

Enables MCP agents to drive an already signed-in Chrome or Edge browser through a local extension bridge, controlling existing tabs and opening task-related HTTP(S) tabs without remote debugging or profile copying.

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.

An MCP server that lets LLM agents control all Chrome browser tabs via accessibility snapshots, element references, and a virtual cursor, supporting operations like click, type, navigate, screenshot, and video recording.

Enables agents to drive an existing Chrome window by creating tabs, taking snapshots, pressing keys, and filling form fields via native messaging without opening a new browser instance.

Enables any MCP-compatible AI agent to drive your own Chrome browser with your existing login state, filling forms, clicking elements, fetching data, and handling captchas without API keys or re-authentication.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

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

Drive your real, signed-in Chrome browser from any MCP client, enabling browser automation such as navigation, clicking, typing, and screenshots through standard MCP tools.

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.

An MCP server that connects AI agents to a running Chrome tab via the Chrome DevTools Protocol (CDP), enabling runtime debugging and page inspection.

Enables reading and writing Chrome bookmarks (folders, URLs, search, move, remove) through MCP clients like Claude Code, using a companion Chrome extension for secure local communication.