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

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

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

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.

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.

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

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.

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.

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

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.

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

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.

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.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

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

Enables OAuth2-authenticated clients to search and read on-premises Exchange mail, download attachments, manage drafts and confirmed sending, update read flags, move messages, look up directory entries, and access personal calendar events through EWS, with LiteLLM integration.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

MCP server for crawling and extracting data from web pages using Selenium with CSS/XPath selectors. Supports 17 tools including smart extraction, pagination, infinite scroll, and screenshots.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Unofficial Powershell MCP server

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.