"chrome" matching MCP servers:

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.

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 AI agents to attach to Chrome tabs, set breakpoints, inspect scope variables, evaluate expressions, and step through code using Chrome DevTools Protocol for runtime debugging.

Enables AI coding assistants to control a persistent Chrome browser through DevTools Protocol. Supports web navigation, screenshots, element interaction, mobile testing, console logs, and network debugging in a stable Docker environment.

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 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.

Enables coding agents to control and inspect a live Chrome browser via MCP, providing Chrome DevTools capabilities for automation, debugging, and performance analysis.

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.

An MCP server that lets AI coding agents control and inspect a live Chrome browser, providing reliable automation, debugging, and performance analysis through Chrome DevTools.

Enables AI coding agents to control and inspect a live Chrome browser, providing reliable automation, in-depth debugging, and performance analysis through Chrome DevTools.

MCP server that lets coding agents control and inspect live Chrome browsers, providing full Chrome DevTools capabilities for automation, debugging, and performance analysis.

Enables AI coding agents to control and inspect a live Chrome browser via MCP, including performance tracing, network and console debugging, screenshots, and reliable Puppeteer-based automation.

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.

Lets AI coding agents control and inspect a live Chrome browser via MCP, providing Chrome DevTools capabilities for automation, debugging, and performance analysis.

Enables AI-powered Chrome automation through natural language, providing 56+ specialized tools for browser interaction, page analysis, scenario recording, and visual testing.

AI-powered QA testing platform — catches JS errors, accessibility failures, visual regressions, API loops, security issues, and more via Chrome DevTools MCP

MCP server for semi-manual QA test execution on real Smart TVs (Tizen/webOS) and local Chrome via Chrome DevTools Protocol, enabling remote control, state inspection, and profiling.

Connects Claude to a live Chrome browser's accessibility tree to generate stable, framework-agnostic test selectors and perform accessibility audits. It enables users to read element roles and states exactly as a screen reader would to help write, debug, and migrate test suites using natural language.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.