"Selenium" matching MCP servers:

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.

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

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

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.

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.

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.

Provides browser automation using Selenium WebDriver, enabling web navigation, element interaction, screenshots, and JavaScript execution via MCP.

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.

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.

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.

Enables LLMs to automate browser tasks (navigation, clicks, text input) via Selenium through the Model Context Protocol.

Enables AI agents to automate browser interactions using Selenium WebDriver, supporting multiple browsers and tools for navigation, clicking, typing, screenshots, and more.

An autonomous, self-managing MCP server providing comprehensive UI analysis, cross-browser testing, and intelligent browser automation with zero-configuration setup.

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.

Automatically fixes broken Selenium test locators when UI changes occur, reducing test maintenance overhead.

Enables LLMs to read existing PageSnap session packs and map locators to Playwright, Selenium, or Cypress without capturing or opening a browser.

Enables AI agents to control legacy web applications running in Microsoft Edge's IE Mode via MCP, using Selenium WebDriver and IEDriverServer for browser automation.

Enables AI agents to control a real web browser (Firefox) via Selenium WebDriver, supporting page navigation, interaction, and inspection through natural language.

Python MCP server for Selenium WebDriver — 84 tools for browser automation, element interactions, assertions, self-healing locators, and codegen for Java TestNG / JUnit 5 / Cucumber / pytest / C# NUnit / Playwright and CI pipelines (GitHub Actions / Jenkins / GitLab CI). No ChromeDriver setup needed.