Browser Automation MCP Repositories

The Browserbase MCP Server automates web browsing tasks in the cloud, allowing AI applications to navigate websites, capture screenshots, and run JavaScript code. This makes it easier to gather data from the web and integrate it into various AI solutions.

This specialized Model Context Protocol (MCP) server, designated 302AI_WebInteraction_Module, empowers users to direct web browser operations via intuitive, natural language instructions. It streamlines web task execution and data retrieval workflows, circumventing the need for writing extensive programming scripts.

Facilitates the orchestration of Make automation workflows via Claude Desktop by establishing a dedicated intermediary service leveraging the Model Context Protocol (MCP) for bidirectional data exchange.

Control computer functions programmatically using mouse and keyboard interactions, screen capture, and OCR capabilities. Integrate automation for clicking, typing, window management, and text extraction from screenshots to enhance workflows.

A consolidated server component designed to orchestrate and streamline operations across diverse external utilities, including GitHub, GitLab, mapping services (Google Maps), and headless browser automation via Puppeteer, offering an efficient, centralized interface for data acquisition and workflow acceleration. Its adaptable structure facilitates straightforward integration or detachment of specific utility agents.

A suite of utilities leveraging a dedicated Chrome extension to capture browser telemetry and analyze page state, empowering AI agents with advanced contextual interaction capabilities.

Connects AI assistants to your web application's DOM, enabling the generation of accurate Playwright tests based on real elements instead of textual descriptions. This integration helps to reduce flaky tests and debugging issues related to AI-generated scripts.

Facilitates automated manipulation of web interfaces by reusing established browser contexts, thereby preserving active login states and streamlining navigation across digital pages without instantiating separate browser environments. This dedicated backend ensures that all browser operations are executed locally, prioritizing user confidentiality and operational efficiency.

A Model Context Protocol (MCP) service enabling sophisticated web data retrieval via Google Search integration, capable of rendering and processing retrieved HTML content, featuring robust anti-bot mechanisms, resource pooling, and content caching.

KKJSBridge enhances the WKWebView experience by providing offline packages, enabling Ajax requests, and synchronizing cookies. It supports modular JSAPI management and allows control over Ajax hooks from both native and HTML5 frameworks.

Activate sophisticated AI interaction with web environments via a specialized Chrome extension interfacing through the Model Context Protocol (MCP), enabling deep capture and analysis of browser state. Supports comprehensive automated quality assurance across accessibility, speed, search engine optimization, and established coding norms directly within the development workflow.

A specialized utility for streamlining operations within the FunPay digital marketplace. It manages item listings, handles incoming transaction fulfillment, and relays critical system alerts directly to a designated Telegram channel. The system supports extensible module integration for advanced customization and workflow enhancement.

Provides automation capabilities for Android devices, including command execution, app management, and UI interactions such as clicks and text inputs. Supports seamless control of Android devices or emulators with integrated OCR and device management features.

An AI-integrated security enforcement agent that intercepts code generation from LLMs, performing static/dynamic analysis and orchestrating AI-driven patches, while also offering natural language-to-browser-test script generation and execution via Playwright.

Instantly acquire normalized, structured datasets from any webpage without manual specification of CSS locators. Features straightforward API connectivity for data retrieval workflows.

Automates login, content retrieval, and commenting on Xiaohongshu posts through keyword searches and URL-based access. Enables tailored interactions with various comment types to enhance user engagement.

Protocol extension for automated web compliance validation and synthetic browser interaction, leveraging Playwright engine bindings with integrated Axe-core accessibility analysis capabilities. Provides LLMs tools for WCAG evaluation, visual artifact generation, and robust browser state manipulation.

Facilitate smooth engagement with sophisticated AI entities through an intuitive graphical front-end, supporting a diverse array of Large Language Models while preserving active browser contexts across sequential operations for enhanced productivity. The backend system incorporates capabilities for premium-quality visual session capture and bespoke browser modifications without necessitating repetitive sign-in procedures.

A Model Context Protocol (MCP) service leveraging OmniParser for comprehensive visual analysis of the active screen to enable sophisticated, automated control over Graphical User Interfaces (GUIs), facilitating interpretation of on-screen elements and execution of corresponding interface manipulations.

Open a browser to monitor console logs and track network requests for improved debugging and analysis. Retrieve structured log data and network activity while maintaining a clean environment post-session.

A specialized MCP service engineered for deep web application inspection. It automatically executes user-defined workflows, captures intricate operational telemetry (network choreography and console diagnostics), and surfaces these findings directly within the developer's integrated coding environment to accelerate the resolution of interface defects.

Facilitates advanced browser orchestration via the Model Context Protocol (MCP), leveraging Playwright's non-visual accessibility tree to drive web interactions, data retrieval, and automated testing for LLM agents.

Offers robust web page interaction via the Puppeteer framework, specifically tailored for operational execution within diverse Linux display environments (including X11 and Wayland setups), facilitating web scripting, visual capture, and JavaScript runtime execution.

Facilitates sophisticated Hypertext Transfer Protocol requests incorporating full browser simulation capabilities to engage with online resources and circumvent bot defenses. Converts rendered HTML and Portable Document Format files into Markdown format for superior ingestion by large language models.

Orchestrates sophisticated web interaction and data retrieval, employing advanced artificial intelligence for intelligent content acquisition across diverse online platforms such as major search engines, code repositories, and Q&A forums. Features include visual state capture and semantic text analysis for superior data synthesis.

Facilitates native mobile application control via Appium endpoints, adhering to the Model Context Protocol (MCP). Enables sophisticated element manipulation, application lifecycle management, device state modification, and execution of complex touch sequences through standardized remote procedure calls. Accelerates continuous integration cycles across a broad spectrum of mobile hardware.

Server and command-line utility for AI-orchestrated web interaction, facilitating programmatic control over digital browser environments for testing, data acquisition, and digital research workflows.

Provides a control layer for managing simulated Ubuntu environments, allowing remote code execution, web navigation, and sophisticated interaction capabilities via the Model Context Protocol. Supports live operational feedback for enhanced client integration.

Facilitates the connection of sophisticated AI applications to web browsers, enabling the execution of complex digital tasks such as data entry into forms, secure retrieval of files, and comprehensive online information synthesis. It offers flexibility via a locally deployable setup leveraging a preferred Large Language Model (LLM) or through a robust cloud-based API service.

Facilitates controlled manipulation of web environments using structured document object model (DOM) artifact representations, entirely independent of visual rendering analysis. Supports tasks like site traversal, data ingestion from input fields, information retrieval, and creation of automated functional validation suites within a browser context.