MCP server for macOS desktop automation enabling screenshot, click, type, scroll, and more. Retina-aware, supports CJK text input and multi-monitor, works with any MCP client without API keys.
Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.
A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.
Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.
Provides an MCP server for macOS that allows agents to control a managed browser with accessibility-first actions, visible cursor, and screenshot return.
MCP server that lets an AI agent delegate tasks to Claude Code on a remote Mac via SSH over Tailscale. Persistent sessions, 200k context, full Mac filesystem access.
A read-only MCP server that exposes data from native macOS apps (Mail, Notes, Calendar, Reminders, Contacts, Messages, Spotlight) to AI agents over stdio, currently in early development with no domain tools wired yet.
A minimal macOS GUI-automation MCP server providing tools to see app state, perform actions, manage apps, send notifications, and run AppleScripts with security boundaries.
Self-learning macOS automation MCP server that remembers successful patterns and avoids repeated failures, enabling AI agents to execute multi-step workflows via reusable recipes.
Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.
An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.