An official MCP server implementation that allows AI assistants to capture website screenshots through the ScreenshotOne API, enabling visual context from web pages during conversations.
An MCP server that bridges AI agents with GUI automation capabilities, allowing them to control mouse, keyboard, windows, and take screenshots to interact with desktop applications.
A Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.
An MCP server that allows AI assistants to utilize human capabilities by sending requests to humans and receiving their responses through a Streamlit UI.
A MCP server that allows AI assistants to interact with the browser, including getting page content as markdown, modifying page styles, and searching browser history.
Provides code manipulation, execution, and version control capabilities. It allows AI assistants to read, write, and execute code while maintaining a history of changes.