"An MCP for interacting with Google Chrome DevTools and aiding in scraping" matching MCP servers:

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.

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

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.

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 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.

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

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 agents to inspect React Native and Expo apps through React's runtime tree, identify source locations, act on elements without coordinates, and verify outcomes with assertions and runtime evidence.

Enables AI agents and MCP clients to drive real Chrome, Edge, Brave, and Firefox browsers through native automation protocols. It exposes tools for navigation, page snapshots, form filling, clicks, screenshots, console/network inspection, and tab management.

Enables coding agents to debug H5 pages running inside Android WebViews on real devices over adb and the Chrome DevTools Protocol, listing debuggable pages, streaming console output and uncaught exceptions, and evaluating JavaScript in the page without opening chrome://inspect.

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.

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.

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 assistants to control WeChat mini-programs running in WeChat Developer Tools through MCP tools. Provides automation capabilities for launching, navigating, querying, and interacting with pages and elements.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

Unofficial MCP server for Zen Browser DevTools, enabling AI assistants to inspect and control Zen via Gecko/WebDriver BiDi

Lets your coding agent control and inspect a live Safari browser on macOS. Provides access to Safari DevTools for debugging, automation, and testing.

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

Enables automated testing of WeChat mini-programs via Model Context Protocol, providing tools for connecting to WeChat Developer Tools, querying and interacting with page elements, making assertions, navigating, and debugging.

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 an AI agent to inspect live browser scene graphs, materials, shaders, lights, textures, animation, performance and memory, preview changes without touching project code, and convert the approved ones into vanilla or React Three Fiber source. It also provides website audits, smooth video frame capture, and Playwright/Puppeteer helpers.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

Enables AI agents to inspect Three.js and React Three Fiber scenes in a live browser and experiment with changes to objects, materials, shaders, textures, lighting, animation and performance without touching project code. Previewed adjustments can be converted into ready-to-paste vanilla Three.js or R3F source code, and the server also offers website performance audits, frame capture for video, and Playwright/Puppeteer helpers.

Enables AI agents to inspect and live-edit 3D browser scenes — objects, materials, shaders, lights, textures, animation, performance and memory — and to turn previewed tweaks into ready-to-paste React Three Fiber or vanilla code. It also adds website audits, virtualized 60 fps frame capture for video, and Playwright/Puppeteer helpers, with no changes required to the user's project.

Enables AI agents to inspect and edit Three.js scenes, materials, shaders, lights, textures, animation, performance, and memory in real time, with live previews convertible into vanilla Three.js or React Three Fiber code. Also supports website audits, video frame capture, and Playwright/Puppeteer workflows.