"Developing an API using NestJS, Prisma, and PostgreSQL" matching MCP servers:

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.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Parse, validate, and explain cron expressions with pay-per-call via x402 (USDC on Base L2), returning next run times in any timezone.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.

An MCP server that reports on and manages systemd services using systemctl and journalctl, enabling service listing, status, logs, and control operations.

An MCP server that enables AI assistants to control iTerm2 sessions, windows, tabs, and profiles using the official iTerm2 Python API. It includes a security model with session tagging and tiered permissions to ensure safe and controlled terminal interactions.

MCP server for Hotkeyless AHK HTTP API. It lets your agent control your whole computer using hotkeys.

Lets an MCP client observe accessibility/ARIA trees and act on macOS apps and a Playwright browser by element_index, and experimentally drive a real iPhone through iPhone Mirroring using OCR and normalized taps. Runs entirely on the local machine with no API key or telemetry.

A Model Context Protocol server that enables AI clients to inspect and manage an Unraid server via its GraphQL API, with read-only defaults and optional enabled mutations.

Manage your GoLogin browser profiles and automation directly through AI conversations. This MCP server connects to the GoLogin API, letting you create, configure, and control browser profiles using natural language.

Enables an AI assistant to control a computer locally by viewing screens or windows, moving the mouse, clicking, dragging, scrolling, typing, pressing hotkeys, and using the clipboard.

Enables an AI assistant to read and change parental controls for supervised children, including downtime, daily screen time limits, app rules, device locking, extra time, and contacts. It uses the parent account's Chrome session to access the private API, with every write verified by reading back the state.

Enables management of Azure Cloud PCs using the Microsoft Graph API, allowing users to list available Cloud PCs in their tenant through Claude Desktop.

Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.

Enables an OAuth-capable AI assistant to manage a self-hosted Linux server, starting with host-health and probe snapshots and optionally expanding to shell commands, bounded text-file reads/writes/moves, and asynchronous jobs through an owner-authenticated local broker. Configuration and credentials stay private on your own machine, with no hosted service or model API keys required.

Enables natural language interaction and management of pfSense firewalls through Claude and other GenAI applications using the Model Context Protocol. It provides advanced tools for firewall rule configuration, interface management, and intelligent log analysis via a REST API integration.

Provides advanced iTerm2 terminal automation using Python API integration, enabling AI assistants to create and manage terminal sessions, split panes, execute commands, broadcast to multiple panes, and monitor terminal state in real-time.

Enables an agent to discover, observe, and operate visible Windows applications using UI Automation, screenshots, and foreground-validated input control through a local stdio connection.

An MCP server that provides tools for controlling Android devices using uiautomator2, enabling AI to automate tasks like tapping, swiping, and managing apps.

An MCP server for remotely controlling touchscreens on Linux devices over SSH using virtual touch input. It enables actions like tapping and swiping without requiring any software installation on the target machine.

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 see, locate UI elements, and operate any Windows desktop app through natural language, using accessibility-tree matching with optional vision-model fallback, plus an autonomous visual loop with introspection and meta-learning.

Enables AI clients to inspect and control allowlisted Windows applications using screenshots, mouse actions, Unicode keyboard input, UI Automation, and an Esc/F12 emergency stop.

An MCP server that provides Xbox controller emulation capabilities, allowing users to programmatically control buttons, analog sticks, and triggers through an API interface.

An MCP server that connects LLMs (Ollama, OpenAI, Anthropic) with desktop automation (mouse, keyboard, screenshots) using PyAutoGUI, with exclusive task locking to prevent concurrent execution.

Enables AI assistants to remotely control an Android device from a PC, using Termux API for camera, location, SMS, notifications, and shell commands over SSH or SSE.

Lets an AI model see an indexed UI Automation accessibility tree of Windows desktop apps and act on it with precise clicks, typing, key chords, scrolling, dragging, and element value changes, using window captures that work even for occluded windows. Screenshot-based coordinates are rescaled and validated against the target window so input fails loudly instead of hitting the wrong app.

Provides comprehensive access to the Kaseya VSAX (VSA 10) REST API v3 through 67 specialized tools. It enables users to manage devices, run workflows, execute scripts, and oversee organizational data using natural language and OData query support.