Discover our curated collection of MCP servers for browser automation. Browse 346servers and find the perfect MCPs for your needs.
Enables Claude Desktop to autonomously interact with web content through browser automation.
Enables interaction between web pages and a local server by establishing a WebSocket connection, allowing access to browser APIs and DOM elements.
Enables AI agents and applications to access and extract real-time web data.
Automates Google Chrome through AI agents via a WebSocket connection to a browser extension.
Enables headless web browsing and interaction through a secure API for the Model Context Protocol.
Captures screenshots and monitors console logs from web pages using Playwright, serving as a Model Context Protocol (MCP) server.
Integrates frontend development servers with a Model Context Protocol server to enhance development workflows.
Enables Claude to perform Google searches and extract webpage content through a controlled Chrome browser instance.
Detects vulnerabilities and automates browser interactions for security testing.
Enables Large Language Models to interact with the AdsPower LocalAPI for browser automation tasks.
Provides an MCP server to programmatically access Storybook component lists and detailed prop information.
Automates browser interactions using Python scripts for tasks like screenshot capture, HTML retrieval, JavaScript execution, and console log extraction.
Enables AI assistants to securely access Kernel platform tools and perform low-latency cloud-browser automation.
Automates professional interactions with Google NotebookLM by providing a Model Context Protocol (MCP) server.
Enables AI agents to retrieve web content and conduct Google searches without the need for API keys.
Enables LLMs to interact with web pages by providing browser automation capabilities, including screenshot capture and JavaScript execution.
Enables AI models to control YouTube Music playback through Google Chrome.
Streamlines web testing workflows by integrating AI-powered automation directly into AI coding assistants.
Automates web testing workflows by integrating with AI coding assistants to record, execute, and discover test steps using natural language.
Captures website screenshots with full page, element, and device size features via a Model Context Protocol server.
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