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

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 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 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.

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.

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.

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.

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.

A TypeScript/JavaScript refactoring MCP server that uses the TypeScript compiler to perform safe, type-aware code transformations such as renaming, extracting functions, and organizing imports across your codebase.

A TypeScript boilerplate for building MCP servers using the official SDK, with a layered architecture for easy adaptation to different APIs.