Model Context Protocol (MCP) Server for Mac Automation

0
0 Reviews
0 Stars
This MCP server allows large language models (LLMs) to execute bash and AppleScript commands on Mac desktops, facilitating automation and control tasks.
Added on:
Created by:
Model Context Protocol (MCP) Server for Mac Automation

Model Context Protocol (MCP) Server for Mac Automation

0 Reviews
0
0
Model Context Protocol (MCP) Server for Mac Automation
This MCP server allows large language models (LLMs) to execute bash and AppleScript commands on Mac desktops, facilitating automation and control tasks.
Added on:
Created by:
Apr 24 2025
Jordan Perr-Sauer
Featured

What is Model Context Protocol (MCP) Server for Mac Automation?

The MCP server provides a bridge for LLMs to perform actions on a Mac computer using bash and AppleScript scripts. It supports configuring secure environments and sandbox modes for safe execution. The server is designed for integrating natural language understanding with direct desktop control, enabling users to automate tasks like opening applications, managing files, and controlling system settings through natural language commands. This setup is especially useful for developers seeking to leverage LLMs for macOS automation, testing command execution, or building intelligent desktop assistants.

Who will use Model Context Protocol (MCP) Server for Mac Automation?

  • Developers working on Mac automation
  • Researchers integrating LLMs with desktop control
  • Automation enthusiasts using Mac
  • Product teams building intelligent multitasking tools

How to use the Model Context Protocol (MCP) Server for Mac Automation?

  • Step 1: Clone the repository from GitHub.
  • Step 2: Create and activate a Python virtual environment.
  • Step 3: Install dependencies via pip.
  • Step 4: Configure Claude Desktop or MCP client with the server details, including command paths and environment variables.
  • Step 5: Load the MCP server in your LLM client, then issue commands like 'say', 'whoami', or more complex scripts for automation.
  • Step 6: In arbitrary mode, use 'execute_bash' or 'execute_applescript' to run custom scripts directly.

Model Context Protocol (MCP) Server for Mac Automation's Core Features & Benefits

The Core Features
  • execute_bash: Run arbitrary bash commands
  • execute_applescript: Run AppleScript commands
  • Secure sandbox mode configuration
  • Custom environment variable setup
The Benefits
  • Enables AI-driven desktop automation on Mac
  • Supports complex command execution through LLMs
  • Flexible configuration for safety and versatility

Model Context Protocol (MCP) Server for Mac Automation's Main Use Cases & Applications

  • Automating repetitive Mac workflows using natural language commands
  • Integrating LLMs for desktop control in research projects
  • Building virtual assistants capable of executing system tasks
  • Automating application management and file operations

FAQs of Model Context Protocol (MCP) Server for Mac Automation

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.