The MediaCrawler MCP service upgrades the social media crawler into a standardized tool that can be directly called by AI assistants. It supports multi - platform data acquisition and has features such as externalized login, browser reuse, and structured output.

This project uses Playwright for automated browser testing and is integrated and deployed with Cloudflare Workers, Browser Rendering, and @cloudflare/playwright, supporting web page interaction operations through an AI assistant.

playwright-mcp is a tool that provides AI assistants with real-time access to browsers and can generate reliable Playwright test scripts.

Jarvis MCP is a browser-based voice conversation tool that allows users to have natural voice conversations with AI assistants through a microphone. It supports voice recognition in more than 30 languages and remote access, and no additional software or API keys are required for installation.

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 VibeCheck Web testing tool is an AI-driven web testing agent integrated into AI programming assistants (such as GitHub Copilot, Cursor, etc.) through the MCP protocol to achieve automated test recording, execution, and discovery. It uses Playwright to control the browser, supports generating test scripts through natural language description, executes regression tests, and automatically discovers potential test steps, improving development efficiency and test accuracy.

The Linked API MCP Server is a tool that connects your LinkedIn account to AI assistants. It securely and automatically enables functions such as potential customer search, message sending, profile analysis, and market research through a cloud browser. It is suitable for scenarios such as sales automation, recruitment assistance, and conversation management.

An MCP server that enables interaction with the OneNote web version through browser automation, supporting AI assistants to programmatically operate shared notebooks.

The MCP Browser Server is a Playwright-based browser automation service that provides web interaction capabilities for AI assistants through a standardized interface. It supports multi-browser operations, element interactions, screenshot analysis, and JavaScript execution, etc.

The Web Browser MCP Server is a Python-based MCP protocol server that provides web browsing and content extraction functions for AI assistants.

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

playwright-mcp is a tool that provides AI assistants with real-time browser access to help generate reliable Playwright test scripts.

yardmcp is a programmable server based on the FastMCP protocol for exploring and querying Ruby gem documentation through YARD. It provides a series of tools to list gems, browse classes/modules, get documentation, search for content, etc., and is suitable for building documentation browsers or code assistants.

A universal MCP server based on Playwright that provides multi - browser automation control capabilities for AI assistants, supporting containerized deployment and multiple operation modes.

The LinkedIn Job Posts Hunter MCP Server is a tool for automated LinkedIn job post search and management. It uses an AI assistant to call the Playwright browser automation tool to search for LinkedIn posts, saves the results to a local SQLite database, and provides a React visualization interface for post management and application tracking.

An MCP server that integrates iOS simulator control and browser automation functions, providing tools such as device management, screen capture, gesture operation, and DOM interaction for AI assistants, and supporting quick installation and configuration of multiple MCP clients.

This project implements an MCP server that provides services for the RAG web browser Actor, enabling AI assistants to perform web searches, scrape the content of specified URLs, and return cleaned content in Markdown format.

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.

The official TestingBot MCP server enables AI assistants to manage the TestingBot testing infrastructure through a conversational interface, including functions such as real-time testing, browser and device management, test management, storage management, screenshot testing, build management, user team management, CDP sessions, and tunnel management.