"A powerful filesystem that works on both Windows and Mac" matching MCP servers:

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Gives ChatGPT Web hands on your Mac — files, git, terminal, browser, and windows via MCP, with outbound-only tunnel and delete protection.

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 local macOS MCP server for AI Agents that exposes safe endpoints for shell commands, files, processes, macOS automation, browser control, and more.

An MCP server that runs on a Mac and exposes a small, sharp set of tools (shell, file transfer, binary execution, screenshots) over a token-protected network port.

fork from https://github.com/JoshuaRileyDev/mac-apps-launcher

A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.

High-performance MCP server giving AI agents advanced filesystem and automation capabilities on Windows, with 26 tools across file I/O, search, Git, process management, and more.

Local macOS MCP bridge that gives ChatGPT shell, unrestricted filesystem access, real PTY sessions, background jobs, and read-only stored Codex history. ChatGPT stays the reasoning layer; the bridge makes no model calls.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

Enables batched filesystem operations on allowed directories and standalone Windows shell command execution, including background jobs and interactive console windows, through MCP tools.

Enables AI agents to seamlessly integrate with the Windows operating system, performing tasks such as file navigation, application control, UI interaction, and QA testing via the MCP protocol.

An enhanced Model Context Protocol filesystem server that fixes common limitations and adds features like glob pattern search, head/tail reading, intelligent file editing with syntax validation, and new tools for delete and command execution.

Enables launching and controlling real, visible Windows Telnet windows by reading their screen buffers and sending keyboard events, with session management and text-waiting capabilities.

An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.

A production-grade MCP server for Windows developer environments, providing AI assistants with secure terminal, filesystem, git, Docker, SQLite, browser, and GitHub capabilities through 12 providers and 40+ tools.

Provides comprehensive Windows system control including file operations, process management, window control, screenshots, clipboard access, PowerShell/CMD execution, and optional mouse/keyboard automation and browser control capabilities.

Enables remote MCP clients to securely access a trusted macOS machine's local file system and command execution tools (mcp-combiner) via OAuth-authenticated HTTPS through Cloudflare Tunnel, without opening router ports.