"MCP servers for Selenium with TypeScript" matching MCP servers:

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.

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

A tool that enables automated browser control using Pyppeteer within the MCP framework, allowing navigation, screenshot capture, and element interaction with websites.

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

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.

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.

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 Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

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.

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.

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.

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

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

This MCP server provides a modern web interface and a set of tools for interacting with the Facebook Marketing API, enabling campaign management, ad set operations, and insights retrieval. It supports multiple connection modes including STDIO, SSE, and HTTP.