"MCP server for browser automation via Chrome DevTools" matching MCP servers:

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

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.

Enables AI coding assistants to control and inspect a live Chrome browser through DevTools for automated testing, performance analysis, debugging, and web scraping. Provides reliable browser automation using Puppeteer with comprehensive DevTools access.

A Model Context Protocol (MCP) server for browser automation using Playwright to control Chrome browsers.

Enables reading browser DevTools data (tabs, console errors, network requests, screenshots, DOM, CSS, JS execution) via Chrome DevTools Protocol.

Enables AI coding assistants to control and inspect a live Chrome browser for automated debugging, performance analysis, and web interaction. It leverages Puppeteer and Chrome DevTools to provide capabilities like network monitoring, console logging, and automated browser actions.

An MCP server for generic browser automation using Playwright. Enables MCP clients to navigate pages, inspect elements, execute JavaScript, capture screenshots, and monitor console logs and network traffic via a headless Chromium instance.

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

Enables AI assistants to control Chrome browser for tab management, content extraction, and browser interactions via REST API.

Enables AI assistants to control and inspect a live Chrome browser for automated web debugging, performance analysis, and Lighthouse audits. It allows agents to capture screenshots, monitor network requests, and measure Core Web Vitals using plain-English prompts.

A wrapper around chrome-devtools-mcp that adds dynamic multi-browser routing, allowing connection to and switching between multiple Chrome instances at runtime.

Gives an agent a real, watchable Chrome window to open and read pages, click and type, take screenshots, and inspect console messages, network requests, and script output. It also records performance traces and runs Lighthouse audits, with each chat getting its own browser that closes when the chat ends.

Enables programmatic headless browser automation for creating sessions, interacting with pages, browsing, and extracting rendered content, with built-in anti-bot and protected-page support.

Enables AI assistants to control Chrome using real user profiles, providing undetectable automation with over 40 tools for navigation, data extraction, and interaction.

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

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.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Provides comprehensive Chrome browser debugging capabilities including DOM inspection, network monitoring, console logs, JavaScript execution, breakpoint debugging, and screenshot capture for AI-assisted frontend development.

Enables fast Chrome browser automation over the DevTools Protocol, letting agents manage tabs, navigate pages, click, type, fill forms, take screenshots, and evaluate JavaScript. It runs via stdio or HTTP/SSE and can auto-launch Chrome with a persistent profile when needed.

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

Enables AI coding assistants to control and inspect a live Chrome browser for automation, debugging, performance analysis, network monitoring, and DOM interaction through Chrome DevTools Protocol.

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

Enables AI assistants to control the Comet browser via Chrome DevTools Protocol, supporting navigation, interaction, form automation, and debugging with multi-client and WSL compatibility.

An MCP server that reads decrypted cookies from a running Chrome instance via the Chrome DevTools Protocol, returning them in various formats.

MCP server + Chrome extension that drive the user's real, logged-in Chrome over a local WebSocket. 59 token-efficient web-dev tools: compact element refs instead of screenshots, server-side table filtering, visual regression, accessibility/SEO/security audits, network mocking. Also runs on ChromeOS/Crostini.

Let Claude Code, Codex and any AI agent use the Chrome you're already signed in to. Open-source CLI + MCP server + Chrome extension (native messaging, no debug port); stealth by default.

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

Firefox browser automation via WebDriver BiDi for testing, scraping, and browser control. Supports snapshot/UID-based interactions, network monitoring, console capture, and screenshots.