Discover our curated collection of MCP servers for browser automation. Browse 443servers and find the perfect MCPs for your needs.
Enables LLMs to control web browsers through a standardized JSON-RPC interface for automation and analysis.
Enables seamless browser automation for Claude Code, featuring intelligent caching, AI-aware selector resolution, and persistent sessions via Playwright.
Enables AI assistants to control iOS Simulators and automate browsers by unifying `xcrun simctl`, `fb-idb`, and Puppeteer for comprehensive interaction.
Enables LLMs to interact with web pages through cloud browser automation, data extraction, and JavaScript execution.
Enables AI assistants to control a web browser through a WebSocket-based Model Context Protocol server.
Automates browser interactions for LLMs using Playwright, enabling web page navigation, screenshot capture, and JavaScript execution.
Automates browser actions and scrapes web content using an AI-powered agent.
Automate web browsers for AI agents, offering extensive interaction capabilities through Playwright and Chrome DevTools Protocol.
Crawl and extract content from dynamic websites using a server-based approach.
Enables ARM64 browser automation for AI-driven SaaS testing on budget hardware, overcoming limitations of traditional tools like Playwright and Puppeteer.
Enables AI assistants to control Octo Browser profiles, facilitating advanced browser automation and multi-accounting tasks through natural language commands.
Transform your Chrome browser into an AI-controlled automation tool for content analysis, semantic search, and complex web interactions.
Automates GitHub login using an MCP server integrated with Playwright for browser control.
Provides a Model Context Protocol (MCP) server for browser automation using Selenium WebDriver, designed for integration with a browserless service.
Enables programmatic control of the WeChat Developer Tools IDE and mini-programs from an MCP client via `miniprogram-automator`.
Automates browser interactions, enabling LLMs to interact with web pages, capture screenshots, and execute JavaScript.
Empower AI agents with comprehensive browser monitoring and interaction capabilities through a Chrome extension.
Orchestrates a multi-candidate agentic coding loop, integrating patch generation, deterministic gates, and mandatory vision scoring to identify optimal solutions.
Automates web browser interactions through an API for tasks like navigation, data extraction, and authentication.
Orchestrates a full-stack AI agent system that interprets natural language commands to intelligently route tasks to specialized tools like filesystem, browser, and GitHub.
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