Enables LLMs to drive a stealthy, fingerprint-spoofed Firefox browser via MCP tools, supporting navigation, interaction, extraction, and multi-session management.
Provides privacy-focused browser automation using a specialized Firefox fork with advanced anti-detection and fingerprint spoofing capabilities. It enables AI assistants to navigate websites, retrieve HTML content, and capture screenshots while maintaining anonymity.
Enables LLMs to drive a real browser for web scraping, page interaction, screenshots, JavaScript execution, automated test generation, and responsive device emulation through natural language tool calls.
Enables AI agents to control a real web browser (Firefox) via Selenium WebDriver, supporting page navigation, interaction, and inspection through natural language.
Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.