"browser" matching MCP servers:

Lets AI agents drive your real, already-logged-in browsers on macOS in the background without stealing focus, organizing work into tab groups, reading pages as compact accessibility snapshots, and saving repeatable scenarios. Supports Chrome, Edge, Brave, Yandex Browser, and Safari, with per-agent isolation and automatic tab cleanup.

Enables any agent to drive a dedicated Chromium instance through MCP, including opening and reading pages, taking steps, logging in via a password vault, downloading/uploading files, and replaying saved routines. It also gates sensitive actions behind approvals and can use client certificates or one-time card data for official procedures.

Unified MCP server for browser automation (Playwright + CDP + CLI) and bookmark management across Chrome, Firefox, Edge, and Brave, including cross-browser sync, deduplication, and a React dashboard.

Exposes Playwright browser automation as MCP tools, enabling AI assistants to control a real browser tab-by-tab for form filling, navigation, and more, while preserving the user's active session.

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.

Enables a coding agent to read web pages through the user's own real, logged-in Chrome profile instead of a server-side fetcher, so pages behind logins, SSO, or bot checks load successfully. Exposes tools to extract readable text from the active tab and to open a URL in a background tab with real cookies, read it, then close it.

Human-in-the-loop automation framework. Log them in, watch them run.

A local MCP server that leverages your real Chrome session to read and interact with web pages, including JavaScript-rendered and login-required content. Supports page actions like clicking, scrolling, typing, and platform-specific tools for Zhihu, Xiaohongshu, X, Reddit, and search engines.

Enables MCP clients to drive a self-hosted Chrome session for browsing tasks through browser tools, while providing a live view URL so a human can take over at prompts like logins or 2FA.

Enables coding agents to drive a real, indexed Chrome browser over MCP stdio, navigating pages, observing numbered interactive elements, and performing click, type, and select actions without the server itself calling any model.

Enables AI agents such as Antigravity, Claude, and Codex to drive the user's real Chrome in background tabs through a local bridge, exposing 47 tools for tab management, trusted input, element finding, network capture, downloads, output, and page access.

Exposes a headful, collaborative browser over MCP so an agent and a user can share one visible Chromium window: the agent navigates, reads, clicks, types, and fills forms, while the user watches and can take over for passwords, CAPTCHAs, 2FA, and payments, with every action written to an append-only audit trail. It also runs headless under a chat-based harness.

Enables AI agents to drive a persistent Chrome session that stays signed in to your own Google account, with tools for navigation, snapshots, clicking, typing, keystrokes, screenshots, JavaScript evaluation, and lifecycle or re-login control. It also exports every row behind a Looker Studio report to CSV and checks whether the session is still healthy.

Gives browser agents a reviewed map of 79 real sites — entry URLs, access verdicts, and role/accessible-name button maps for 104 screens — so an agent can find where things are and know whether it may act at all. Safety rules in code halt irreversible actions such as pay, order, submit and delete pending explicit human approval, while per-site memory recalls which routes worked last time.

Enables AI agents to perform low-latency web automation with a persistent headed Chrome/Chromium instance, including navigation, DOM interaction, content extraction, screenshots, tab management, and batch/code execution via 18 MCP tools.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.

Enables AI agents to drive persistent, login-preserving browser profiles on demand — opening sites, running Playwright code, capturing compact ARIA snapshots, and closing browsers while saving sessions. Also lets agents record and recall per-site notes and credentials-backed logins across Claude Code, Codex, and other MCP clients.

Gives AI agents a single shared, logged-in Chrome they can drive over MCP or plain HTTP: open and read tabs, click, type, upload files, run short Playwright scripts, hand off whole web tasks to a cheaper model, and keep per-site memory. Agents work in background windows they own without stealing the user's mouse or closing their tabs.

Enables agents to control a real Chromium browser with semantic tools, providing compact observations and outcome-verified actions for web interaction tasks.