"chrome" matching MCP servers:

Lets several AI clients drive one shared, signed-in Chrome at the same time, giving each session its own background tabs and tab group with per-tab leases so mutations queue while reads overlap. Exposes a full Chrome DevTools-style toolset plus Claude's 31-member browser toolset, along with an HTTP endpoint that turns Messages API tool_use blocks into tool_result blocks.

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 AI clients to drive a chosen account's isolated Chrome instance through MCP tools, covering profile discovery and start/stop, navigation, clicking, form filling, text extraction, screenshots, and queued multi-step jobs with result polling, plus manual handover for logins and CAPTCHAs. Also supports session and storage-state export, profile backups, and human takeover/resume when a task needs verification.

Enables AI coding assistants to control a live Google Chrome browser, allowing tab management, navigation, clicking, typing, screenshots, and JavaScript evaluation through the user's real profile.

MCP server for storing and managing QA workflows, encrypted credentials, and browser test run history. Enables agents to create targets, workflows, and retrieve decrypted credential bundles for test execution.

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

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

Lets MCP clients automate a logged-in LINE Chrome extension, enabling chat search, message reading, text sending, and live event streaming for messages and chat updates.

Enables AI to interact with Chrome DevTools Protocol to inspect and debug live web pages, including DOM, styles, console logs, and network requests.

Connects to a running Chrome instance via CDP to expose browser control as MCP tools, preserving login state, cookies, and extensions for automation.

Enables AI coding assistants to control and inspect a live Chrome browser for automation, debugging, performance analysis, and screenshot capture through Chrome DevTools.

Exposes Codex's Chrome plugin as an MCP server, enabling MCP clients to drive a real, logged-in Chrome browser by navigating, snapshotting the DOM, clicking, typing, taking screenshots, running Playwright, and sending raw CDP commands.

Enables AI assistants to remotely control TradingView charts in Chrome, including reading charts, writing and fixing Pine Script, managing watchlists and alerts, and capturing screenshots, all through natural language commands.

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

Enables MCP clients such as Claude to drive the user's real Chrome in the background via the DevTools Protocol through a companion extension, exposing 32 tools for navigation, form input, screenshots, snapshots, script evaluation, network and console inspection, performance tracing and raw CDP commands, with control off by default and limited by allowed sites and blocked domains.

Enables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools. Provides browser automation, performance analysis, debugging capabilities, and network request monitoring.

Lets coding agents control and inspect a live Chrome browser via the Model-Context-Protocol, providing advanced browser debugging, performance insights, and reliable automation.

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 ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

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.