iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

A MacOS application for managing the MCP server of the Claude desktop application, providing various preset service configurations and local data management.

An MCP server that enables LLM applications to interact with macOS through AppleScript, providing a standardized interface to control various system functions.

A tool for interacting with the macOS Messages application through Python bridging, supporting reading and sending iMessage messages

This project provides a server based on the Model Context Protocol (MCP) that supports remote execution of AppleScript and JavaScript automation scripts on macOS. It includes a rich knowledge base of predefined scripts and can control macOS applications and system functions.

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

An MCP server application for running applications on MacOS

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.

PopUI is a companion application for Claude Desktop on macOS, providing two - way interactive UI tools.

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.

An MCP server that provides location data for macOS native applications and enables location acquisition functionality through integration with Claude Desktop.

A MCP server for launching and managing macOS 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.

An MCP server for processing Xcode string catalog files, supporting reading, searching, and updating of localized strings in iOS/macOS applications.

An MCP service based on Swift that controls applications via the macOS accessibility API, supports operations such as opening applications, clicking, and inputting text, and is compatible with MCP clients like Claude Desktop.

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.

TaskNote Bridge is a native macOS Swift application that implements a complete MCP protocol server for AI assistant integration between Things 3 and Apple Notes.

macOS Application Launch Management MCP Service

An MCP server that interacts with macOS Messages and Contacts applications via AppleScript, supporting functions such as viewing contacts and sending iMessages.

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.

An MCP server project that allows Claude to control macOS native applications through natural language, similar to Playwright but for Mac applications, suitable for development testing and UI automation.

A Python service for interacting with native macOS applications via FastMCP

A server that allows AI assistants to directly control tasks in Things.app via the MCP protocol, supporting task creation, update, viewing, and management

An MCP server for launching and managing macOS applications, supporting listing applications in the /Applications directory, launching applications by name, and opening files with specified applications.

An Azure service interaction server based on the MCP framework, providing operation tools for storage, virtual machines, and application services.

mcp-server-restart is an MCP server for Claude Desktop for Mac, used to implement the quick restart function of the Claude application.

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.

An MCP service prototype project based on NodeJS, used for integration with the Claude desktop application and requires MacOS environment support.

JARVIS MCP is a lightweight server that provides secure access to local machine commands and file operations through standardized API interfaces, acting as a bridge between applications and the local system.

A text - writing MCP server specifically designed for the Textwell application on macOS

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

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing multiple functions such as calendar, contacts, location, maps, messages, reminders, and weather.

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.