# Browser Automation

This project implements two types of MCP protocol servers: the Echo Server for testing and the Browser-use Server based on browser automation tools, supporting LangChain integration and interaction with OpenAI.

An MCP server for controlling YouTube music playback

An MCP server based on Playwright that provides web content scraping and conversion functions, supporting JavaScript rendering, content extraction, and Markdown conversion.

Playwright MCP is a browser automation server based on Playwright that enables interaction between LLM and web pages through structured data rather than pixel input.

Provides a Docker Compose environment to run the Playwright MCP server, facilitating cooperation with clients such as Cline or Cursor.

A browser automation proxy tool based on the MCP protocol

The Awesome MCP Registry is a high - quality, structured list of MCP servers, containing over 63 MCP servers covering multiple domains such as browser automation, cloud platforms, databases, and developer tools. The project generates README.md, npm packages, and packages - list.json through JSON configuration files, and can be used as a database for MCP servers and packages to build your own MCP projects and hosting sites.

An MCP tool that enables Google search and web content extraction through the Chrome browser, integrated with Claude to enhance search capabilities

A browser automation project based on the MCP protocol, which controls browsers through Playwright and interacts with the Claude desktop client

A browser automation service based on the MCP protocol, supporting natural language control of browser operations

An MCP service based on Puppeteer-Extra, providing enhanced browser automation capabilities, supporting incognito mode to avoid detection, and including functions such as page interaction, screenshot capture, and script execution.

A browser automation MCP service based on Puppeteer, providing web page interaction, screenshot capture, and script execution capabilities

A Puppeteer-based MCP server that provides anti-detection browser automation capabilities for AI assistants, supporting real clicks, human-computer interaction, and other functions.

An MCP server based on Puppeteer-Extra, providing enhanced browser automation capabilities and supporting stealth mode to avoid being detected as a robot.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

The Puppeteer MCP Server provides browser automation capabilities based on Puppeteer, supporting functions such as web page interaction, screenshot, image extraction and download, and JavaScript execution, enabling web page operations in a real browser environment.

The 302AI BrowserUse MCP Server is an AI-based browser automation server that enables natural language control of browsers and web research through the Model Context Protocol (MCP).

A browser automation tool based on the MCP architecture that combines web scraping capabilities with LLM intelligence, supports Google search, intelligent web page content extraction, and AI processing, suitable for various website types.

A Puppeteer-based browser automation MCP service that provides web page interaction, screenshot capturing, and JavaScript execution capabilities

An MCP server based on browser - use, enabling AI agents to control web browsers for automated operations.

An MCP server based on Puppeteer that provides browser automation functions, supports Linux display servers (X11 and Wayland), and enables LLMs to interact with web pages, take screenshots, and execute JavaScript.

The MCP Browser Proxy is a powerful integration of the Model Context Protocol, providing autonomous browser automation capabilities for Claude Desktop and supporting functions such as navigation, screenshot, DOM interaction, JavaScript execution, and API requests.

Browser MCP is an MCP server + Chrome extension project that enables browser automation operations through AI applications (such as VS Code, Claude, etc.). Its features include local operation to ensure speed and privacy, using real browser fingerprints to bypass detection, and supporting existing login sessions.

OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.

The BrowserCat MCP Server provides a cloud-based browser automation service that supports web page interaction, screenshot capture, and JavaScript execution.

The LinkedIn data collection MCP server authenticates by manually entering the account password and uses Selenium browser automation technology to scrape the complete information of LinkedIn profiles, including work experience, education background, skills, and contact information.

This is an enterprise-level security-hardened Chrome automation MCP server that provides compliance audit logs, post-quantum encryption, secure credential storage, and session management. It is designed for enterprise environments that require high security and compliance.

Browserplex is an MCP server for multi-user browser session management based on Playwright. It supports Chromium, Firefox, WebKit, and incognito mode, providing an isolated browser session environment for multiple AI agents and solving the single-instance conflict problem.

PageLens is an MCP server that provides visual feedback of front - end applications for AI programming assistants. It automatically takes screenshots, clicks, checks console errors, and visual differences through a headless browser, eliminating the manual loop in development.

The Browser Agent Protocol (BAP) is an open standard designed for AI agents to interact with web browsers. It provides two interfaces, CLI and MCP, and supports features such as semantic selectors, composite actions, and structured data extraction.