Discover our curated collection of MCP servers for browser automation. Browse 691 servers and find the perfect MCPs for your needs.
Automates browser interactions using natural language commands via the Model Context Protocol (MCP).
Automates browser interactions for LLMs using Playwright, enabling web page navigation, screenshot capture, and JavaScript execution.
Automates interactions with the Chrome browser via a server.
Automate browser interactions using natural language commands, powered by AI.
Automate web browser interactions for AI assistants.
Provides an MCP server to programmatically interact with Web-LLM models running in a browser environment.
Crawl and extract content from dynamic websites using a server-based approach.
Integrates versatile web search, multi-language Wikipedia access, URL content extraction, local summarization, and precise mathematical computation capabilities.
Enables seamless browser automation for Claude Code, featuring intelligent caching, AI-aware selector resolution, and persistent sessions via Playwright.
Provides browser automation, web application testing, and test script generation capabilities via the Model Context Protocol.
Automates GitHub login using an MCP server integrated with Playwright for browser control.
Empower AI agents with robust browser automation capabilities, enabling web page interaction, navigation, and content extraction.
Enables browser automation by inheriting authenticated session states from local Chrome, Edge, or Chromium browsers, supporting cross-platform cookie decryption.
Enables remote headless browser sessions for AI agents on geographically distributed SaladCloud containers via the Model Context Protocol.
Enables large language models to delegate Windows and browser automation tasks to smaller, more cost-effective LLMs, significantly reducing context window usage.
Transforms any webpage into an MCP server, enabling AI assistants to directly control the browser.
Empower AI assistants with secure internet access for web searching, page fetching, and file downloading.
Provides AI agents with full browser visibility and control, enabling them to detect errors, inspect state, interact with pages, and run tests autonomously.
Enables AI agents to control Chrome browser tabs through a dedicated Model Context Protocol (MCP) server and browser extension.
Enables AI agents and Large Language Models to natively control, automate, and debug Chromium-based browsers via the Chrome DevTools Protocol.
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