A token-efficient browser automation server that enables LLMs to navigate websites, click elements, and extract content using accessibility trees and markdown conversion. It provides eight tools for lightweight browser interaction optimized for performance with local LLM endpoints.
A client-server browser automation solution that reduces HTML token usage by up to 90% through semantic snapshots, enabling complex web interactions without exhausting AI context windows.
Agent-native headless browser for AI agents. Converts web pages to a Semantic Object Model (SOM) instead of raw HTML — 17x average token reduction across real-world sites (up to 117x on complex pages). Native MCP server with fetch_page, extract_text, extract_links, and full browser automation. No API key required.
A lightweight 30KB MCP browser automation server that uses raw Chrome DevTools Protocol to enable AI agents to browse the web, take screenshots, interact with elements, and capture live page events like console logs and network requests.