"Using the Vercel API" matching MCP servers:

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.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

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.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Provides MCP tools to copy text to and paste text or images from the macOS clipboard using AppleScript.

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 AI assistants to create, duplicate, list, and run Apple Shortcuts using Cherri code via the Model Context Protocol.

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 high-speed native macOS automation for Claude by interacting directly with the Accessibility API, AppleScript, and UI trees instead of using screenshots. It allows users to read app states, click elements, and type text semantically across any macOS application.

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 strict resource governance for AI agent processes using Linux cgroup v2, enforcing CPU bandwidth, memory limits, and process limits to prevent resource overconsumption, runaway loops, and fork bombs.

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.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables AI assistants to find and launch Windows applications by name using multi-strategy discovery via registry, Start Menu, PATH, and common directories.

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.

Enables MCP-capable agents to control the macOS mouse and keyboard using screenshots and Quartz-based input events, including app switching, clicks, scrolling, text entry, shortcuts, and action-triggered screenshots.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Native Windows MCP server that gives AI agents full desktop control. 45+ tools using UIAutomation + OCR with automatic dark theme enhancement instead of screenshots. Features batch action sequencing (run_sequence), window occlusion detection, menu navigation, PrintWindow capture, and embedded AI workflow instructions. Single .NET 8 executable — no Python, no Node, no Selenium.

MCP server that wraps the MSPbots Fleet Platform API, enabling host inventory management, on-demand script execution, and saved osquery queries over the Model Context Protocol.

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

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.

Enables control and automation of Android devices using uiautomator2 and ADB. It supports UI interactions, app management, and shell command execution through the Model Context Protocol.

GUI automation MCP server that enables AI agents to see and control the Windows desktop using a local Vision LLM (Ollama), supporting screenshot analysis, mouse/keyboard actions, and autonomous task execution.

Enables an MCP client on macOS to control a paired iPhone over Wi-Fi or USB through system developer services, without any app installed on the phone. Exposes tools for device discovery and connection, fresh screenshots, taps, drags, Home, app listing and launching, and Unicode text entry.