"A query about Google Chrome or a related Chrome topic" matching MCP servers:

Local MCP server for persistent Chrome automation with multi-profile support, enabling tab management, page inspection, element interaction, JavaScript evaluation, and screenshots while preserving login sessions across restarts.

An MCP server that gives AI agents faithful control of real, logged-in Chrome profiles via a secure local bridge and extension, with exact multi-profile routing and no debug profiles or remote debugging ports.

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 MCP clients to control real Chrome tabs in existing profiles, supporting navigation, interaction, screenshots, and console/network inspection across multiple Chrome instances.

Enables browser automation through a persistent Chrome instance exposed via HTTP, including navigation, screenshots, clicks, typing, multi-tab and multi-profile management, proxy switching, login state export, and AI-driven task execution.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

MCP server for agent interaction with user-approved Google Chrome tabs, enabling tab listing/control, navigation, clicking, filling, snapshots, and screenshots via a local authenticated bridge.

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.

Enables local opencode agents to control a live Chrome browser via MCP tools, including tab management, JavaScript execution, clicking, form filling, page reading, screenshots, and console log retrieval.

A browser extension that turns Chrome into an AI-controlled automation tool, allowing AI assistants like Claude to control your browser, leverage existing login states, and perform complex tasks through a Model Context Protocol server.

Enables AI agents to dynamically provision headless browser environments and connect to them through a unified HTTP/SSE MCP endpoint with persistent storage and automatic health monitoring.

MCP server for the LLM Wiki Chrome extension that exposes bounded browser automation tools (shared tabs, accessibility snapshots, screenshots, clicks, typing, etc.) with explicit user consent and strict typing, enabling local agents to interact with specific web pages via a native messaging relay.

Connects local stdio MCP servers to an existing Chrome 144+ session, preserving the user's signed-in sessions, cookies, tabs, and extension environment without launching a second browser. It provides tab control, semantic snapshots, screenshots, pointer, keyboard, form selection, scrolling, navigation, and waiting tools.

A native MCP server that gives AI assistants full Chrome control via the DevTools Protocol and an unpacked extension, including semantic element refs, real input, screenshots, and browser/tab/window management. It exposes 43 callable tools with a visible control overlay and an optional read-only security profile.

Enables Grok Build to attach to the user's active Chrome profile via MCP, leveraging the profile's tabs, cookies, and logins instead of launching an isolated browser.

Enables AI assistants to control Chrome via MCP with automatic site permissions, force reconnect, and diagnostics. Uses stdio native messaging for reliable browsing automation.

Enables multiple MCP clients to share a single Chrome instance while maintaining isolated tab sessions for each client. It acts as a multiplexer between clients and the chrome-devtools-mcp server, preventing tab conflicts across different sessions like Claude Code windows.

Exposes the Codex Chrome extension flow to other Agent tools through MCP, enabling Chrome automation via CDP and tab management.

Provides 133 stealth tools for AI agents to bypass Cloudflare, Turnstile, and reCAPTCHA, including LLM-optimized actions like describe_page and smart_fill.

MCP server that gives AI agents secure, consent-based access to a single browser tab, supporting read-only snapshots, element interaction with per-action approval, and frozen multi-step plans, all audited.