"browser" matching MCP servers:

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.

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

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.

Captures browser console messages (log, warn, error, etc.) and makes them available to AI language models like Claude Code and Gemini CLI for seamless debugging and development.

Enables coding agents to access local browser diagnostics—runtime errors, console logs, network failures, breadcrumbs, DOM snapshots, and screenshots—and run closed-loop verification to debug and confirm fixes.

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

Enables MCP-compatible agents to run real browser-based performance scans on any URL and receive a rich Markdown dashboard with Core Web Vitals, grades, and actionable recommendations.

Enables Claude Code to inspect live browser-preview state, including forms, routes, selections, and focus, and to access runtime errors and user interaction events from any browser tab via read-only MCP tools.

Connects AI assistants to Crontinel, enabling natural language queries about cron jobs, queues, Horizon status, and alerts without opening a browser.

A minimal network monitoring MCP tool for Playwright browser automation. Just 5 simple tools to capture, filter, and analyze network traffic during web automation with MCP context efficiency.

Point your coding agent at a URL and get a real-browser QA audit: broken signup/login/checkout flows, JS console errors, missing analytics, consent + security headers, mobile tap targets, and accessibility — returned as machine-verified findings graded A-F.

Bridges web browsers and Claude Code for seamless debugging workflows by receiving debug data from browser widgets and exposing it to Claude Code via MCP protocol.

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.

Exposes a local inference ledger over MCP stdio, letting agents query request counts, token usage, TTFT, energy consumption, local costs, cloud-equivalent costs, savings percentages, and per-model breakdowns from an OpenAI-compatible proxy's SQLite ledger. Provides four read-only tools so coding agents can answer questions about home GPU inference economics without opening a browser.

Enables agents to monitor websites for content changes with persistent baselines, durable notifications, and explicit review acknowledgement, using direct HTTPS fetches or isolated Playwright browser rendering for dynamic pages.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.

Integrates front-end development servers with AI tools, enabling browser automation, console log capture, screenshot management, and HMR event monitoring.

Enables AI assistants to capture website screenshots, automate browser interactions, and manage recurring screenshot configurations across 150+ global locations. It also supports AI-powered domain research and visual change monitoring for any web page.

Enables AI coding agents to inspect active authenticated browser sessions and runtime state, capture user breadcrumbs and network/error telemetry, and generate Playwright/Cypress tests or MSW mock handlers through standard MCP tools.