"Automating Browser Operations with Scripting or Tools" matching MCP servers:

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.

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.

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

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.

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.

Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.

Webhook management and testing tools for AI agents. Provides tools for sending, validating, generating, and debugging webhooks.

Enables coding agents to run Playwright e2e tests, validate Supabase RLS policies with role-based SQL, typecheck TypeScript, execute npm scripts with parsed test output, and validate Next.js builds, all through a structured MCP interface.

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 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 hardened, human-like Chromium browser for automation and testing, with ad blocking, natural mouse movements, and Cloudflare Turnstile assistance.

Enables validating Sparkplug B topics, checking Unified Namespace conventions, and running an industrial AI-readiness diagnostic via MCP, with no API key or account required.

Enables validating JSON/JSONC, getting/setting values with jq-like paths, pretty-printing or minifying, validating against Ajv JSON Schema, and diffing local files or inline strings without network calls.

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.

Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.

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

Bridges AI agents with VS Code's debugger, enabling breakpoint management, step execution, variable inspection, and stack tracing via CLI commands.

Provides AI agents with web accessibility analysis tools via MCP, enabling checks for alt text, heading hierarchy, color contrast, ARIA validation, and form accessibility.