Enables AI agents to fully control a terminal browser via MCP, navigating pages, filling forms, logging in, and managing cookies with deterministic numbered links and forms. Also provides an interactive human CLI.
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.
MCP server for vision-first browser automation that annotates interactive elements with numbered markers, allowing AI agents to control any webpage by simply referencing element numbers.
MCP server for browser automation that lets LLMs interact with web pages through structured accessibility snapshots, bypassing the need for screenshots.
Semantic browser automation MCP server that lets AI agents control a browser using natural language, handling navigation, form filling, data extraction, and more without CSS selectors.
A browser automation MCP server that enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or vision models.