browserwing/browserwing

BrowserWing turns your browser actions into MCP commands Or Claude Skill, allowing AI agents to control browsers efficiently and reliably. Say goodbye to slow, token-heavy LLM interactions — let agents call commands directly for faster automation. Perfect for AI-driven tasks, browser automation, and boosting productivity.

What it solves

BrowserWing simplifies the process of turning websites into structured data. It bridges the gap between raw web pages and AI agents by providing a platform for browser automation that can be controlled via natural language, a CLI, or standardized protocols, eliminating the need to write complex scraping code for every new site.

How it works

BrowserWing acts as a control layer over Google Chrome or Chromium. It provides over 26 HTTP API endpoints for browser manipulation and supports the Model Context Protocol (MCP) and Skills protocol, allowing AI tools (like Claude or Cursor) to trigger browser actions. Users can record their browser interactions visually, edit them, and then export these sequences as reusable scripts or AI-compatible commands. It also integrates LLMs for semantic data extraction and can connect to CloakBrowser for advanced bot-detection evasion.

Who it’s for

  • AI Agent Developers: Those building agents that need to interact with the web and extract structured data.
  • Data Analysts: Users who want to scrape data from various websites without writing custom code.
  • RPA Engineers: Professionals implementing robotic process automation for enterprise workflows.
  • Testers: Developers needing a tool for automated browser testing and monitoring.

Highlights

  • Universal AI Integration: Native support for MCP and Skills protocols for compatibility with various AI tools.
  • Built-in Script Library: Comes with 78 pre-configured scripts for popular sites like GitHub, Reddit, and Amazon.
  • Visual Recorder: Allows users to record, visually edit, and replay browser actions.
  • Agent-Friendly CLI: A command-line interface designed for shell pipelines and AI agent discovery.
  • Semantic Extraction: Uses LLMs (OpenAI, Claude, DeepSeek) to extract data based on meaning rather than just HTML tags.
  • Stealth Capabilities: Integration with CloakBrowser for source-level fingerprint patching to bypass bot detection.

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