# Browser automation

A browser automation service based on Puppeteer and Steel, providing web page interaction capabilities for LLMs

The MCP server for AdsPower browser's LocalAPI, supporting browser creation and configuration operations through LLM instructions.

A TypeScript-based MCP protocol server supporting file operations, Shell commands, and browser automation.

A modern browser application based on React that provides a user-friendly interface to interact with the Model Context Protocol (MCP) server in real-time through Server-Sent Events (SSE). It supports features such as theme switching, screenshot preview, and message history.

An AI-driven browser automation server based on the MCP protocol, supporting natural language control of web page operations and in-depth web research.

An MCP server based on Playwright, providing browser automation capabilities for LLMs, including web page interaction, screenshot capture, and JavaScript execution.

A browser automation MCP server based on Deno 2 and Playwright, providing web page interaction and screenshot capabilities

The MCP server provides web content scraping functionality, supporting browser automation, OCR, and multi - method content extraction to help LLMs acquire and process web content that requires JavaScript rendering or anti - crawling protection.

An MCP server implementation based on Selenium WebDriver, providing browser automation functions

The Browserbase MCP Server is an open - source project based on the Model Context Protocol (MCP), providing cloud browser automation services and supporting functions such as web page interaction, data extraction, and JavaScript execution.

MCP Server Playwright is a tool that provides complete browser automation capabilities, supporting functions such as page navigation, element interaction, screenshot capture, and JavaScript execution.

A browser automation MCP server based on Python, using Playwright to implement web page interaction, screenshot capture, and script execution functions

MCP Server Pentest is an automated web security testing tool that provides XSS and SQL injection vulnerability detection, browser interaction, and monitoring functions.

Provide Playwright as an MCP server, supporting remote invocation of browser automation functions through the SSE protocol

The Crawl4AI MCP Server is a Python-based web crawler project that integrates Playwright browser automation, the DuckDuckGo search engine, and the MCP protocol SDK for intelligent web data collection.

Browser MCP is an MCP server + Chrome extension that enables browser automation through AI applications (such as VS Code, Claude, etc.). It features fast response, privacy protection, staying logged in, and avoiding detection.

An MCP server based on Playwright, providing browser automation capabilities for LLMs

An MCP server that provides a persistent Playwright evaluation environment, enabling state retention across calls through a JavaScript programming interface

The OLX MCP server is a browser automation tool based on Playwright, which supports searching for product lists, obtaining detailed information, and seller information on OLX domains in 5 different countries.

AI-driven browser automation server based on the MCP protocol, supporting multi-model interaction and visual analysis, providing web page operation and session retention functions

A browser automation MCP service based on Playwright, providing standardized tools such as web page navigation, content extraction, form filling, and screenshot taking. It supports multiple browsers and advanced features like request interception and responsive testing.

YetiBrowser MCP is a fully open - source implementation of browser automation MCP. It connects through a local MCP server and a browser extension, enabling AI assistants to control real browser tabs. All data is processed locally to ensure transparency and security.

flyto-core is a debuggable automation engine that provides complete execution tracking, arbitrary step replay, and status snapshot functions. It supports 412 modules covering 78 categories such as browser automation, data processing, and API integration, and can be used through multiple methods such as CLI, MCP server, and HTTP API.

An MCP server based on Ruby, using Ferrum and Headless Chrome for browser automation, providing 29 tools to support functions such as navigation, interaction, and content extraction, and having a built-in anti-detection stealth mode.

BrowserControl is an MCP server that provides real browser automation capabilities for AI agents. It uses a vision - first approach, enabling interactions such as clicking and inputting through numbered elements, without the need for CSS selectors or XPath.

A server based on the MCP protocol that drives local Chrome/Chromium browser tabs through the Chrome DevTools Protocol (CDP) to achieve automated functions such as clicking, navigating, and taking screenshots without opening the remote debugging port.

Codify MCP is an MCP server based on Apify Agent that can convert browser automation tasks into tools that AI assistants can call, supporting direct passing of tool definitions through JSON parameters without the need for configuration files.

The MCP Browser Automation Server is a browser control tool based on REST API, supporting functions such as creating sessions, page navigation, taking screenshots, element operations, and real-time console log monitoring.

This project is a Python-based multi-MCP server management framework that interacts with the Google Gemini API through the SSE protocol. It includes two major function modules: calendar management and browser automation, and supports dynamically loading multiple services through a configuration file.

A Chrome browser automation service based on the MCP architecture, providing web control, login management, and element operation functions