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

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.

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

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.

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.

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

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

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

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.

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.

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 LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

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.

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.