"Guide to connecting to Bitbucket Data Center" matching MCP servers:

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

Grants Mammouth.ai assistants secure, authenticated access to a Windows 11 workstation, including persistent memory, kanban task management, sandboxed file operations, PowerShell processes, remote SSH/PuTTY handling, system diagnostics, and web tools.

Enables AI assistants to securely control a local Windows environment through guardrail-protected command execution, Python running, process and filesystem management, system monitoring, and desktop GUI automation. It uses layered security checks to validate commands, code, and paths before execution.

Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

Enables Claude and other MCP clients to display native macOS notifications with customizable titles, messages, icons, and sounds through the macOS Notification Center.

Enables any MCP client to manage an fnOS NAS through natural language, covering authentication, files, AI photo search, app center, Docker, downloads, logs, monitoring, network, power, storage, users, and Baidu Netdisk via 83 tools. Built on FastMCP with bundled trim-cli binaries and OAuth 2.0 + PKCE login, it also exposes raw API passthroughs as a fallback.

Enables Claude to read and search through iMessage, SMS, and RCS conversations, including mixed-protocol group chats with Android users. It decodes binary message data from the macOS Messages database to provide a comprehensive view of message history.

MCP server for CachyOS connecting ChatGPT in developer mode to inspect and operate files, terminal, processes, apps, clipboard, and KDE/Wayland desktop.

Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data via OSAScript.

Enables AI assistants to send native macOS notifications for task completion alerts and reminders. Supports interactive features like custom system sounds, action buttons, and user replies directly from the notification center.

Enables LLM agents to manage NetworkManager VPN connections through fixed, allowlisted tools for connecting, disconnecting, reconnecting, and diagnosing VPNs.

Enables Windows UI Automation screen-to-text and computer-use via MCP, allowing agents to observe, decide, and act on Windows applications through accessibility data without OCR.

A thin MCP adapter that connects an LLM to the ros2_medkit SOVD HTTP API, enabling discovery, data retrieval, operation execution, and configuration management for ROS 2 systems.

Enables AI agents to remotely control a real Android phone over MCP with no ADB, root, or emulator, by connecting a broker server to a sideloaded APK. Exposes tools to list devices, capture screenshots, read the UI tree, open links and deep links, and perform taps, swipes, typing, and global navigation actions.

Enables ChatGPT to securely access local files, shell commands, processes, Skills, and external MCP servers through a controlled local bridge with lock/unlock permissions and a Windows desktop control center.

Enables AI-driven visual automation by connecting to Qontinui Runner to load workflow configurations, execute visual automation workflows, and monitor execution status across multiple displays.

Enables AI/MCP clients to enumerate, select, and operate authorized remote computers through one OAuth-protected, self-hosted endpoint, with devices connecting outbound and keeping their own cryptographic identities. It layers OAuth scopes, account-to-device grants, server profiles, and device-local ceilings to govern filesystem, shell, process, transfer, Git, and signed agent lifecycle operations with auditable results.

civyk-winwright is a Playwright-style MCP server for Windows desktop and browser automation. It provides 59 tools for controlling WPF, WinForms, Win32 apps, and Chrome/Edge via the Model Context Protocol. A unified automation layer connecting Claude and MCP-compatible agents to native Windows UI and web interfaces.

Enables AI agents to drive a real, licensed PSCAD 5.x installation through its Automation Library: connecting and checking out license certificates, creating projects, placing and wiring components, setting parameters, building and running simulations, and reading back result traces. All 45 tools return structured JSON with real error details so agents can diagnose licensing, wiring, or parameter failures.

Enables AI assistants to monitor and interact with industrial systems, providing real-time system health monitoring, operational data analytics, and equipment maintenance tracking. Built with Next.js and designed for industrial automation environments.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.