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

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

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 coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, performance analysis, and high-speed batched or parallel workflows.

Lets AI coding assistants control and inspect a live Chrome browser using full Chrome DevTools capabilities for browser 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 to interact with Chrome DevTools Protocol to inspect and debug live web pages, including DOM, styles, console logs, and network requests.

An MCP server that provides AI coding assistants with comprehensive browser automation and debugging capabilities using Playwright, including visual inspection, DOM debugging, and execution monitoring.

Lets coding agents control and inspect a live Chrome browser for reliable automation, in-depth debugging, and performance analysis. Provides access to Chrome DevTools capabilities such as tracing, network inspection, screenshots, and console messages through MCP clients.

Enables debugging of web applications by connecting Claude to Chrome's developer tools through MCP, allowing network monitoring, console inspection, and performance analysis via natural language.

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.

Bridges Chrome DevTools with Cursor AI to enable debugging and monitoring, including console logs, network requests, screenshots, and element inspection.

Enables AI agents to inspect a running Three.js scene in the browser and try out live edits to objects, materials, shaders, lights, camera and animation without touching project files. Every change is recorded and can be exported as ready-to-paste vanilla Three.js or React Three Fiber code, alongside performance audits and frame capture.

Enables AI agents to inspect and modify live Three.js scenes in real time through 59 tools covering objects, materials, shaders, textures, animations, performance monitoring, memory diagnostics, and code generation. Works with vanilla Three.js, React Three Fiber, and any framework without changing your project, using an injected browser bridge and in-page devtools overlay.

Captures browser console logs via Chrome DevTools Protocol and exposes them to MCP clients over SSE, enabling log retrieval with the getConsoleLogs tool.

Enables AI agents to inspect and tweak live 3D scenes in the browser — objects, materials, shaders, textures, lights, animation, performance and memory — with zero changes to your project, then convert previewed edits into ready-to-paste vanilla Three.js or React Three Fiber code. It also supports website performance audits, video frame capture, an in-browser devtools overlay, and Playwright/Puppeteer workflows.

Enables LLM agents to launch or attach to a Microsoft Edge session and drive it through a four-tiered tool set spanning navigation, clicking, typing, and token-efficient accessibility-tree inspection. Also exposes raw Chrome DevTools Protocol calls for network interception, cookie manipulation, console and performance telemetry, and device emulation.

A Docker-based workspace providing headless Chrome browser with CDP proxy and noVNC interface for browser automation and monitoring.

Enables AI agents to monitor and debug browser runtime errors, console logs, and page diagnostics in real time via a Chrome extension and local MCP server.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

MCP server for inspecting and modifying Three.js scenes in real time — 59 tools for objects, materials, shaders, textures, animations, performance monitoring, memory diagnostics, and code generation.

Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.

Enables AI assistants to connect to browser DevTools and backend debuggers for full-stack debugging, including frontend console, network, performance, and backend log analysis.

This MCP server enables real-time debugging and inspection of running React Native apps, providing access to console logs, errors, network requests, navigation state, storage, and performance profiling.

Enables querying real-user Core Web Vitals field measurements — 75th-percentile LCP, INP, and CLS with distributions and ~40 weeks of history — for any origin or page that has enough Chrome traffic.

Enables AI agents to inspect Three.js scenes in real time, experiment with live previews of changes to materials, shaders, lights and cameras, and convert those changes into ready-to-paste vanilla Three.js or React Three Fiber code. Also supports website performance audits, video frame capture, and Playwright helpers with zero project changes.

Give your AI coding agents the superpower to observe your NestJS application's runtime state in real-time.

Enables AI assistants to inspect React Native app performance including memory, rendering, frames, and network requests, providing plain-language summaries and shareable reports.

Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.

Enables AI assistants to monitor and control Bambu Lab 3D printers over a local network via MQTT, including real-time status, AMS filament info, print control, and maintenance tracking. It supports guided setup, safety confirmations, read-only mode, and a built-in printer simulator.