An MCP server based on computer vision that automatically identifies the positions of image assets and extracts the layout structure by analyzing web page screenshots, supports the detection of multiple layout patterns such as radial and grid, and helps AI assistants accurately reconstruct web page layouts.

An MCP server that provides information about the installed applications on a computer, supporting MacOS and Windows systems, and can be integrated with compatible AI assistants.

The YOLO MCP Service is a powerful computer vision service that integrates with Claude AI through the Model Context Protocol (MCP), providing functions such as object detection, segmentation, classification, and real-time camera analysis.

A privacy - first document search server that runs entirely locally, providing semantic search functions for AI programming tools through the MCP protocol. No API keys or cloud services are required, and all data processing is completed on the user's computer.

Deskmate is a local execution agent that allows users to control personal computers through natural language. It supports multiple AI agent backends and messaging platforms, provides full access to local tools, and does not require sandbox restrictions.

This is a server that controls the Commodore 64 Ultimate hardware through the MCP protocol, allowing AI assistants (such as Claude) to interact with the retro computer via the network, achieving operations such as programming, running games, playing music, and managing disks.

This is an MCP server designed for the Commodore 64 Ultimate (the official modern C64 computer). It allows AI assistants (such as Claude, ChatGPT) to remotely control C64 hardware through a REST API, supporting functions such as program loading, memory operations, and disk management.

Koppla is a natural language-based Active Directory management tool that enables querying and operating on user, group, and computer objects through an AI agent.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

Bridge MCP is a Windows PC control server based on the Model Context Protocol (MCP), allowing any AI to fully control the computer through a local proxy program, including application control, mouse and keyboard operations, screen capture, system command execution, browser automation, and clipboard management.

termiAgent is an LLM-based command-line assistant that supports plugin role settings and MCP server connection, aiming to simplify computer operations.

An MCP server that provides audio input/output functions, supporting the interaction between AI assistants like Claude and the computer's audio system, including functions such as recording and playing audio files.

MCP Hub is a framework for creating and managing Model Context Protocol (MCP) servers and clients, integrating the UV tool to simplify package management and configuration. The project includes AI - related computer vision scripts and dataset processing tools, supporting rapid deployment and development.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

The notify-completion-mcp-server is an MCP server that sends notifications when an AI agent completes a long-running task, helping users know the task completion status without constantly monitoring their computers.

The AI MCP server is a bridge connecting AI models and computer systems, supporting system command execution, file operations, program control, and inter - model communication. It provides automated installation and the ability to integrate multiple AI models.

A Windows computer control server based on the MCP protocol, providing comprehensive automation capabilities such as screen screenshots, window management, file operations, and system control for AI agents, supporting local and remote access.

This is a FiftyOne MCP server project that allows users to use natural language through AI assistants (such as ChatGPT and Claude) to explore and manage computer vision datasets. It provides functions such as dataset management, operation execution, plugin installation, and session control, exposing more than 80 built - in operators and the plugin ecosystem of FiftyOne to AI tools.

The Computer Use AI SDK developed by Screenpipe is an open - source project that provides an MCP server and client for controlling computer operations through AI. It supports the native macOS environment, does not require a virtual machine, can directly interact with any application or website, and provides basic functions such as launching applications, reading content, clicking, and entering text, aiming to build automated workflows and intelligent agents.

Overlord is an AI management project that controls macOS through the local computer, providing direct system control and support for multiple LLM providers.

Upsonic is a reliability - focused framework aiming to achieve trustworthy agent workflows within an organization through advanced reliability features such as a validation layer, triangular architecture, validation agents, and an output evaluation system. It addresses key challenges such as reliability, Model Context Protocol (MCP), integrated browser and computer usage, and secure runtime.

Desktop Commander MCP is a server tool designed for the Claude desktop application, allowing AI to execute terminal commands, manage the file system, perform code search and editing operations. It extends the functionality of Claude through the Model Context Protocol (MCP), enabling it to directly interact with the local computer to achieve functions such as command execution, process management, file operations, and code editing.