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

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.

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.

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 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.

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 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.

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.

A simple Model Context Protocol server implemented in TypeScript that enables communication with client applications (like Cursor) over standard input/output and includes a basic calculator tool as an example.

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

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.

A Model Context Protocol (MCP) server that provides TypeScript development tools for automated refactoring and code analysis.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

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

Provides AI assistants with instant access to TypeScript type definitions from your project dependencies. Enables generation of complete, type-safe mocks and test data by automatically discovering and exposing interface structures from node_modules.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools, including example operations and simple number addition functionality.

Enables MCP-compatible clients to analyze TypeScript code by finding method references, dependency imports, and React component trees.

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

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

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

Enables AI assistants to control Blender 3D modeling and rendering through natural language commands via the Model Context Protocol.