"MCP servers for IntelliJ GitHub Copilot integration with Hibernate HQL support" matching MCP servers:

Enables an AI operator to create consent-based remote support sessions on Windows PCs, run PowerShell commands, and upload or download files through an audited, self-terminating MCP relay.

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Lets Claude Desktop and Claude Code inspect and drive Windows desktop applications in the background, including clicking, typing, launching, and verifying results, while the user keeps their mouse, keyboard, and foreground window.

Windows computer use in the background for Antigravity and Gemini: look at a window, then act in one verified batch with targets named by their label, without taking the user's mouse, keyboard or foreground; irreversible actions need explicit confirmation.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Enables a Copilot Studio agent to operate a dedicated, disposable Windows VM by running commands, PowerShell scripts, file operations, and background jobs over authenticated HTTPS.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).

Self-hosted server that lets ChatGPT, Grok, and stdio MCP clients read and write files, run PowerShell/CMD and interactive processes, and drive the Windows desktop through screenshots, window info, clicks, drags, and keyboard input. It connects via OpenAI Secure MCP Tunnels, an OAuth authorization-code + S256 PKCE HTTPS endpoint, or local stdio, exposing 38 tools under the user's own Windows account.

Enables controlling remote desktops over RDP and VNC while running persistent Python sessions, so variables survive across calls and screenshots, actions, and loops can be combined. Supports multiple named connections, each with an independent worker and input state.

Enables MCP clients to discover desktop applications with structured metadata and receive native accessibility trees and screenshot content through Open Computer Use, preserving upstream tool results and image blocks.

Enables AI clients to operate on a remote Linux server over MCP, allowing shell command execution, file editing, package installation, project builds, and service management.

Lets an AI agent work on a real Commodore Amiga over the home network: AmigaDOS Shell, files, ARexx, screenshots, mouse and keyboard, and windows, gadgets and menus by name. Includes a remote desktop to watch and take over, tuned for 68000 machines and slow links.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

A modern, extensible server that provides a unified interface to control and interact with various macOS applications through plugins.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Enables execution of bash commands with support for timeouts and background jobs, allowing file operations, build commands, system inspection, and long-running tasks.

SassyMCP is a comprehensive MCP server that replaces 75+ individual servers with one 34MB executable. It provides 274 tools for file operations, shell, desktop automation, GitHub/Git, Android interaction, network/security auditing, SSH, OCR, and Windows system management.

Enables opening files, folders, and URLs across different operating systems with special support for Linux Flatpak Firefox installations, handling filesystem sandboxing restrictions automatically.

Manage macOS launchd jobs from MCP tools with support for Python-script tasks, scheduling, logs, and lifecycle management.

Provides timezone-aware date and time information with configurable time formats and timezone support. Enables users to get current date and time in their preferred timezone and format through simple MCP tools.

Enables interaction with macOS Reminders app through AppleScript, allowing users to create, read, update, and delete reminders and lists, with support for filtering, batch operations, and reminder properties like priority and due dates.

Your AI agents won't set your GPU on fire. GPU/CPU/RAM scheduler + market maker for AI coding agents (Claude Code, Codex, Gemini, Cursor, Grok, OpenCode, Kimi, Copilot and more) sharing one PC. Any mix of GPUs, MCP server, one-command install, Windows/macOS/Linux.