"Element" matching MCP servers:

Enables Claude Code to control your actual logged-in Chrome browser through an MV3 extension, perceiving pages as element tables and performing actions such as navigation, clicks, typing, and assertions via CDP.

A high-performance browser automation MCP server that provides AI agents with a fast, persistent Chromium instance via Playwright. It features reference-based element interaction, snapshot diffing, and manual handoff capabilities to handle complex tasks like CAPTCHAs.

Provides undetectable browser automation for AI agents, bypassing Cloudflare and other anti-bot systems. Includes 97 tools for navigation, scraping, network interception, and element cloning.

Enables Claude to autonomously drive Firefox by combining Claude's planning with Jev's fast element selection for clicks, navigation, and form actions, reducing latency and token usage.

MCP server that gives AI agents secure, consent-based access to a single browser tab, supporting read-only snapshots, element interaction with per-action approval, and frozen multi-step plans, all audited.

Local MCP server for persistent Chrome automation with multi-profile support, enabling tab management, page inspection, element interaction, JavaScript evaluation, and screenshots while preserving login sessions across restarts.

Enables MCP clients to control Chrome/Edge browsers via CDP, including page navigation, element interaction, snapshots, network debugging, script execution, and performance tracing.

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

MCP server for vision-first browser automation that annotates interactive elements with numbered markers, allowing AI agents to control any webpage by simply referencing element numbers.

An MCP server that lets LLM agents control all Chrome browser tabs via accessibility snapshots, element references, and a virtual cursor, supporting operations like click, type, navigate, screenshot, and video recording.

Optimizes browser automation for AI agents by reducing token usage and latency through smart element extraction and caching.

Enables real finite element analysis from natural language: accepts STEP geometry and plain-English questions, validates setups deterministically, meshes and solves with CalculiX on Modal, and returns engineering verdicts (stress, safety factor, deflection, modal frequencies) with rendered plots and an interactive 3D viewer.

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.

Enables AI agents to browse, click, type, screenshot, and extract data from web pages without writing CSS selectors, using numbered element refs. It also supports office automation such as bulk form filling, table extraction, downloads, PDF archiving, and page monitoring.

A native MCP server that gives AI assistants full Chrome control via the DevTools Protocol and an unpacked extension, including semantic element refs, real input, screenshots, and browser/tab/window management. It exposes 43 callable tools with a visible control overlay and an optional read-only security profile.

Enables AI agents to perform undetectable browser automation that bypasses Cloudflare, antibots, and social media blocks. Provides 105 tools for element extraction, network debugging, and real-world web scraping with a 98.7% success rate on protected sites.

MCP server that drives the iOS Simulator via accessibility-tree snapshots with stable element refs, enabling LLMs to interactively find, tap, type, and inspect UI elements at sub-200ms latency.

A comprehensive Model Context Protocol (MCP) server suite that enables AI coding agents to automate both web browsers and Electron desktop applications with auto-snapshots and element references.

Enables AI agents to navigate and interact with web pages through compressed semantic graphs, using element IDs and coordinates for clicking, typing, selecting, scrolling, and screenshots without raw HTML or CSS selectors.

Enables AI agents to control a user's existing Chrome browser with preserved logins, performing tab management, element interaction, script execution, and screenshots, all locally via a Chrome extension and Python bridge.