"Introduction to Selenium for Browsing Automation" 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.

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.

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 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.

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.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Enables AI agents to operate the Unreal Editor via MCP: reading, creating, and editing blueprints at the node level, authoring materials and UMG widgets, auditing projects, and verifying runtime behavior in PIE with read-back checks.

A Model Context Protocol (MCP) server for browser automation using Playwright to control Chrome browsers.

Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.

A local MCP server that exposes macOS automation actions (AppleScript + CLIs) as tools, enabling MCP clients on your Mac to control apps, system settings, and more.

An MCP server that enables Claude Code CLI to interact with Cloud Desktop, ChatGPT, and Gemini web interfaces through browser automation.

Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.

An MCP server for generic browser automation using Playwright. Enables MCP clients to navigate pages, inspect elements, execute JavaScript, capture screenshots, and monitor console logs and network traffic via a headless Chromium instance.

Exposes the Home Assistant Automation API integration as MCP tools so an AI agent can manage automations, helpers and template entities, Lovelace dashboards, entity/device/config-entry registries, recorder history, and native entity state and service calls without hand-editing YAML.

Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.

Enables AI assistants to open real pages and return Selenium locators verified to match exactly one element, convert user stories into pytest, JUnit 5 or TestNG skeletons, run suites and report the failing locator and its line, and self-heal broken locators in CI with confidence scores, automatic re-runs, reverts and a reviewable audit trail. Works for both Python and Java test projects, including Page Objects and @FindBy annotations.

Windows desktop automation MCP server supporting mouse, keyboard, screenshot, and image recognition, with native CJK text input via clipboard.

Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.

Lets an LLM like Claude inspect and control an automation job queue — list jobs, check status, trigger new runs, retry failures, and pull queue-wide stats through natural language.

A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.

A custom MCP server for Playwright browser automation and system control, providing 25 tools to enable Claude Code to perform web interactions and system tasks via natural language.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables AI agents to search and read source-grounded entries about Minecraft farms and contraptions, including inputs, outputs, labor steps, version applicability, and verification records. It provides two read-only tools and runs offline without accessing a game or executing builds.

Enables AI clients to start and use isolated Revit 2020 instances on demand, handle common warnings and dialog popups, and retrieve the original operation result after dialogs are resolved.

Gives AI assistants structured access to a test automation stack so they can run suites, inspect failure details and captured output, look up test data, and file Jira bugs (or drafts) only for confirmed defects. It works with any framework that emits JUnit XML, letting assistants triage flaky, environment, and test-data issues alongside real product defects.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Enables AI-powered browser automation controlled through natural language, integrating Playwright with the Model Context Protocol to perform web interactions like navigation, form filling, and screenshots.

Enables automated LinkedIn growth by posting, commenting, and managing connections through Claude Code, with daily scheduled tasks for inbox replies and connection requests.

Enterprise web automation testing MCP server that controls local Chrome via Playwright CDP, providing tools for page element analysis, interaction, dynamic layer exploration, VTable scene graph, test recording, and Shadcn-style Excel export.