Show HN: OpenBrowser MCP: Give your AI agent a real efficient browser (openbrowser.me)

OpenBrowser MCP has been launched, offering a new web browsing framework designed to provide AI agents with a more efficient and interactive experience. This innovative tool is reported to be 3.2 times more token-efficient than Playwright MCP and six times more efficient than Chrome DevTools MCP. Unlike other solutions that rely on screenshots, OpenBrowser uses text to facilitate navigation and interactions, ensuring a more seamless and effective browsing experience. It supports integration with 12 large language model (LLM) providers out of the box and works with any OpenAI-compatible endpoint, making it extremely versatile for developers. The significance of OpenBrowser lies in its ability to enhance AI agents' autonomy while browsing the internet. With features such as a persistent Python namespace and the capability for real-time visual tracking via VNC streaming, developers can monitor how their agents navigate, click, and extract information live. Additionally, being built on a robust infrastructure that supports Docker, Kubernetes, and cloud deployment, OpenBrowser is accessible for various scales of use. As a community-driven, MIT-licensed project, it invites further extensibility and contributions, promising a collaborative evolution of tools that can push the boundaries of AI capabilities in web exploration.