Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
An open-source framework for building site-specific MCP servers that run over real, authenticated user browser sessions locally, turning them into composable AI tools.
A framework for building interactive UI applications and React-based widgets for ChatGPT and Claude using the Model Context Protocol. It enables developers to create custom tools and visual components that facilitate rich, bidirectional interaction between AI models and users.
A framework that makes any web application natively operable by AI agents through the Model Context Protocol (MCP), replacing browser automation with structured UI semantic trees and typed backend operations.
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.