A server implementation based on the Model Context Protocol (MCP) for executing CMD commands and SSH connections on Windows and Linux systems, supporting the integration of command - line operations through MCP - compatible applications.

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 Screeny MCP Server is a privacy-first screenshot service designed specifically for macOS, allowing AI agents to securely capture screenshots of pre-approved application windows and providing a visual context for development and debugging tasks.

CMD MCP Server is a server implementation based on the Model Context Protocol (MCP), which supports executing CMD commands and SSH connections on Windows and Linux systems, allowing the integration of command - line operations with MCP - compatible applications.

MCP Dockmaster is a cross - platform desktop application, CLI, and library for conveniently installing and managing MCP servers, supporting Mac, Windows, and Linux systems. The project uses a monorepo structure managed by NX and contains two core modules: the main application and the proxy server.

Tome is a MacOS application (support for Windows and Linux is coming soon) developed by the Runebook team. It aims to simplify the use of local large language models (LLMs) with MCP servers. By integrating Ollama and managing MCP servers, users can quickly start chatting with MCP-powered models without dealing with complex configurations.

A CLI tool for automatically approving tool requests in the Claude desktop application. It achieves automation by injecting JavaScript scripts and supports macOS and Windows platforms.

This project is a practice project for the MIT Hack decentralized AI summit, demonstrating how to quickly set up a Claude MCP protocol service on Windows. It includes two examples: a weather application and an SQLite database, which respectively demonstrate government API data acquisition and bakery inventory management functions.

This project uses advanced AI prompting techniques to enable an AI agent (based on Google Gemini model) to interact with the legacy Windows application MSPaint through the Model Context Protocol (MCP) to solve complex math problems and draw solutions on the canvas.

A complete MCP server application based on Windows Forms, integrating LLM API calls, a modern chat interface, tool management, and a configuration system. It can serve as a reference for enterprise-level desktop program development.

A server based on the MCP protocol for obtaining the list of installed applications on a computer, supporting MacOS and Windows systems.