Exposes Selenium WebDriver as an MCP server, enabling AI agents and LLMs to control real browsers for automation tasks like navigation, element interaction, and screenshot capture.
An MCP server for web automation using Selenium WebDriver, enabling AI assistants to navigate, interact with elements, take screenshots, and manage browser storage.
Enables browser automation by managing Selenium Grid browser instances (Chrome, Firefox, Edge) in Docker or Kubernetes environments. Provides secure, scalable browser control for AI agents and testing workflows.
A server implementation that enables controlling web browsers programmatically through Claude's desktop application, providing comprehensive Selenium WebDriver operations for browser automation with Chrome and Firefox support.
A complete Model Context Protocol server that implements Selenium WebDriver for browser automation with advanced detection evasion capabilities, multi-browser support, and comprehensive web interaction functionalities.
Records browser interactions (clicks, DOM mutations, console logs, JS errors) via Chrome DevTools Protocol while you manually navigate, and provides tools to retrieve and analyze recordings for test generation.
MCP server for crawling and extracting data from web pages using Selenium with CSS/XPath selectors. Supports 17 tools including smart extraction, pagination, infinite scroll, and screenshots.
Enables browser automation using Selenium, including navigation, element interaction, screenshots, and cookie management, through both local STDIO and Streamable HTTP transports.
Enables AI agents to control a real web browser (Firefox) via Selenium WebDriver, supporting page navigation, interaction, and inspection through natural language.
A Selenium-based MCP server that exposes browser automation tools for navigation, interaction, form filling, and assertions, enabling AI agents to control web browsers through natural language.
Enables AI agents to crawl, access, and analyze WeChat Official Account articles using Selenium and the Model Context Protocol. It provides specialized tools for dynamic content retrieval, image processing, and automated article analysis.
Enables LLMs to drive Edge in IE mode for automating legacy IE-only web applications, supporting tasks like clicking, filling forms, and data extraction via Selenium.
Enables an agent to run shell commands through a JupyterLab/JupyterHub-hosted terminal, using REST API and WebSocket via Selenium for session handling, when SSH is not available.