"Google Chrome Browser Information or Downloads" matching MCP servers:

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.

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 control through your existing signed-in Chrome profile, letting MCP clients like Claude Code manage tabs, navigate, inspect pages, and perform real user interactions via tool calls. Works with any model backend without needing Playwright or a fresh browser profile.

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 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 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.

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.

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.

Browser use using Typesafe's Jev model

Enables MCP clients to drive a real Chromium browser for automation, including navigation, JavaScript execution, CDP commands, network capture, and multi-tab control.

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.

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.

Enables AI agents to inspect and modify Chrome state directly through extension APIs, listing tabs and windows and moving or reordering tabs within and across windows. Operations are validated and never simulate mouse/keyboard input, steal focus, or activate tabs implicitly.

MCP server that gives AI full control of a live Chrome browser via CDP, with 145 tools for framework-aware intelligence, evidence analysis, and SEO auditing. Connects to your existing Chrome via an extension, enabling interaction with dynamic and authenticated web pages.

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 AI agents to drive a real headful Chrome browser using vision-first computer interactions, with support for multi-agent tab groups, password-manager-filled logins, and human handoff.