"Tools for Web Development and Browser Debugging (Arc Browser Supported)" matching MCP servers:

Enables browser automation and smoke testing via Playwright, with tools for navigation, DOM interaction, screenshots, network capture, and more.

Exposes your Chrome/Edge browser as MCP tools for AI agents, enabling browser automation through a Chrome extension with 47 tools for navigation, interaction, page reading, and more.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Enables AI assistants to remotely control, debug, and automate real browsers, iOS simulators, and Android emulators, including navigation, element inspection, interaction, screenshots, and mobile gestures.

MCP server that lets agents drive a browser and record every action into a replayable trace, then replay it deterministically with network request assertions. It exposes tools for navigating, clicking, filling, and verifying requests.

Enables AI assistants to capture screenshots of web pages using automated browser sessions. Supports full-page and element-specific screenshots, device simulation, and JavaScript execution for comprehensive web testing and monitoring.

Enables browser automation for React Native Web applications using coordinate-based clicks to trigger RNW's gesture responder, with multi-tab management, screenshots, and persistent sessions.

Enables AI-driven browser automation with advanced form testing, batch operations, and intelligent element extraction for MCP-compatible applications.

Adds persistent QA state to browser automation, enabling AI agents to maintain session-scoped artifacts and generate reports across multiple steps.

Enables AI agents to control a real browser through intent-based tools—reading pages, filling forms, clicking, and replaying self-healing recipes—while returning only concise answers instead of the DOM.

Provides AI agents with deep visibility into a running web page's UI by capturing DOM, styles, and screenshots through a lightweight bookmarklet. It facilitates design-to-code comparisons, accessibility audits, and automated CSS debugging directly within an IDE.

An MCP server that fuses Playwright and browser-use for browser automation testing, offering 59 tools for AI-driven exploration and precise assertions on a shared browser instance, with built-in stealth anti-detection.

MCP-first browser-control toolkit enabling AI agents to safely automate browser actions using redacted snapshots and ref-based interactions.

Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.

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.

Enables AI agents to control a hardened, human-like Chromium browser for automation and testing, with ad blocking, natural mouse movements, and Cloudflare Turnstile assistance.

Enables AI coding agents to see and interact with real Chrome pages through structured DOM inspection, targeted screenshots, recordings, and human-in-the-loop approvals across major coding-agent hosts.

MCP server for browser debugging, inspection, and verification that streams console logs, network errors, and user actions into AI coding assistants.

Enables AI agents to automate and debug real Chromium browsers with capabilities like screenshots, video recording, performance analysis, visual regression testing, and OCR text extraction.

Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.