AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
A server that integrates with Claude Desktop to enable real-time web research capabilities, allowing users to search Google, extract webpage content, and capture screenshots directly from conversations.
A browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension, supporting functions like console monitoring, screenshots, DOM analysis, and website auditing.
A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.
A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.