"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.

Exposes a live Chrome browser to any MCP client through a single local endpoint, enabling real-tab control, DOM interaction, cookies and session use, network/console capture, PDF export, and CDP-powered debugging.

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 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.

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

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.

Enables measuring DOM elements and capturing screenshots in a real local Chrome browser over the DevTools Protocol, with in-page login so httpOnly cookies apply and overlay-masking before capture. It removes common Chrome automation traps such as sandbox kills, WebSocket origin rejection, and Retina pixel scaling, with no npm or Python dependencies beyond the MCP SDK.

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.

Gives AI agents a private, locally-run Chrome-for-Testing browser they drive directly, letting them fetch WAF-protected pages, capture network and screenshot evidence, harvest e-commerce catalogs, and run performance, accessibility, SEO, and cross-engine QA inspections through standard MCP tools. It also provides click-flow smoke tests, visual baselines, page comparison, and diagnostics, all without a cloud relay or the user's personal Chrome profile.