"Files formatted in JSON" matching MCP servers:

Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Enables AI assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

All-in-one homelab management MCP server. Docker monitoring, volume backup/restore (with compose and env files), Wake-on-LAN, network scanning, and multi-server SSH management.

Enables file management operations on the desktop including creating, reading, editing, moving, renaming, deleting, and listing files through the Model Context Protocol.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables Claude AI to open files and directories with system default applications or specified apps, and reveal items in macOS Finder.

Enables AI assistants to send Windows toast notifications and dialog boxes, allowing them to actively notify users and request confirmations through native Windows UI.

A command-line interface server that provides unrestricted system access to Windows environments with SYSTEM-level privileges, allowing complete control over files, processes, and configuration settings.

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.

Enables an AI agent to see and control Android devices, including x86_64 emulators and redroid, through 68 tools covering gestures, typing, apps, notifications, files, browser control, and more.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

An MCP server that lets you execute commands, manage files, run persistent shell sessions, transfer large files, and control background processes on remote machines via a lightweight HTTP agent, useful when SSH/WinRM/SMB are unavailable.

Enables Windows agents to control desktop applications and isolated Chromium sessions through a unified computer tool, supporting discovery, observation, input, window management, browser automation, and sequencing actions.

Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.

Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.

Enables AI agents to interact with and automate Windows desktop applications, providing UI inspection, mouse/keyboard control, OCR, and window management for QA tasks.

Provides tools to parse and describe cron expressions in plain English, and compute future run times.

MCP server for opening files in Windows applications, including Microsoft Edge and the default app for file types.