"Using Python to Locate and Retrieve Browser Element Selectors" matching MCP servers:

Enables interactive element inspection on any website, allowing users to click elements and send detailed information (tag, classes, styles, attributes) to Claude for analysis.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

A Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

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.

Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Headed Playwright browser MCP server with persistent profile, providing 23 tools for full browser automation while masking PII data.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Enables AI agents to drive your real, logged-in Chrome browser with existing sessions and cookies, bypassing CAPTCHA and anti-bot measures, with support for multi-session and human-in-the-loop workflows.

A powerful MCP server for UI designers and developers to extract, analyze, and clone website front-end code (HTML, CSS) with pixel-perfect accuracy using browser automation.

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

A lightweight 30KB MCP browser automation server that uses raw Chrome DevTools Protocol to enable AI agents to browse the web, take screenshots, interact with elements, and capture live page events like console logs and network requests.

Enables browser automation and web scraping through Playwright, supporting navigation, screenshots, element interaction, form filling, JavaScript execution, and content extraction.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

An MCP server that provides browser automation with anti-detect fingerprinting, accessibility snapshots, and ref-based element targeting, powered by Camoufox.

Enables AI-powered browser automation with real profiles, supporting interaction, navigation, form filling, and advanced features like visual overlays and self-healing selectors.

An open-source MCP server that provides browser automation capabilities to external AI systems, enabling navigation, DOM interaction, and web content extraction.

An MCP server for browser automation using Puppeteer that enables AI assistants to navigate web pages, interact with UI elements, and capture screenshots. It supports comprehensive web tasks including form filling, content extraction, and executing custom JavaScript within the browser context.