"Using Selenium for Web Scraping and Automation" matching MCP servers:

Enables AI assistants to fetch public web pages as readable text or HTML, with caching, live refresh, and parallel job handling.

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

An MCP server that enables Claude Code CLI to interact with Cloud Desktop, ChatGPT, and Gemini web interfaces through browser automation.

Enables AI coding agents to diagnose and repair Python Selenium UI automation using real evidence from live DOM and test runs, with enforced safety boundaries and verifiable fixes.

Enables browser automation using the Selenium WebDriver through MCP, supporting browser management, element location, and both basic and advanced user interactions.

Provides browser automation using Selenium, supporting Chrome and Firefox, with tools for navigation, element interaction, screenshots, and more.

Enables browser automation through the Model Context Protocol, allowing AI agents to control Chrome, Firefox, or Edge for tasks like navigation, clicking, typing, and screenshots.

Allows AI agents to control web browser sessions via Selenium WebDriver, enabling web automation tasks like scraping, testing, and form filling through the Model Context Protocol.

A production-ready MCP server that exposes Selenium 4 browser automation as MCP tools.

Enables AI assistants to automate web browser interactions through Selenium WebDriver. Supports multi-browser automation, element interaction, navigation, and web testing capabilities.

An MCP server for web automation using Selenium WebDriver, enabling AI assistants to navigate, interact with elements, take screenshots, and manage browser storage.

Enables agents to drive a persistent real browser on Selenium Grid through MCP or HTTP, performing multi-step actions like navigation, clicking, typing, scripting, and screenshots while retaining session state.

Provides 66 tools for browser automation using Selenium WebDriver, enabling AI agents to navigate, interact, capture screenshots, assert conditions, manage cookies, handle tabs, execute HTTP requests, record sessions, and more.

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.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

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.

Enables AI agents and MCP clients to automate web browsers via Selenium WebDriver, supporting Chrome, Firefox, and Edge in headless or visible mode with tools for navigation, interaction, content extraction, screenshots, and scripting.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

A Model Context Protocol server for browser automation using Selenium WebDriver, enabling LLMs and teams to automate browsers with multi-browser support and a standard MCP API.

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.