Search for:
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers, which can be used for debugging and capturing screenshots.
Why this server?
Opens a browser to monitor and retrieve console logs and network requests, providing structured data about web page behavior to LLMs, which fits the need for a console error retrieval tool.
Why this server?
Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment, which covers the screenshot requirement and allows for potential debugging.
Why this server?
This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
Why this server?
A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
Why this server?
Provides tools for downloading, processing, and managing YouTube content with features like video quality selection, format conversion, and metadata extraction.
Why this server?
A Unity Master Control Protocol implementation that allows AI agents to control and interact with Unity, enabling them to execute code, query editor state, modify GameObjects, and capture screenshots through a WebSocket-based communication system.
Why this server?
A Windows control server built using nut.js and Model Context Protocol (MCP), providing programmatic control over Windows system operations including mouse, keyboard, window management, and screen capture functionality.
Why this server?
A remote MCP server implementation for Cloudflare that uses server-sent events (SSE) to enable Model Control Protocol communication.
Why this server?
A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.