Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
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.
Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.
A Model Context Protocol server built with FastMCP that provides tools for retrieving the current local date and time. It allows LLMs to access precise temporal information directly from the host environment.
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.
Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.
MCP server that lets AI clients manage a Qinglong (qinglong) panel via natural language, covering crons, environment variables, scripts, subscriptions, logs, configs, and dependencies through its Open API.
Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.
Exposes Anthropic's computer-use action surface (screenshot, click, move, keyboard, clipboard, batch) against a persistent desktop display via MCP stdio protocol. Enables AI agents to control a virtual desktop environment through natural language instructions.
Enables AI development tools on Windows to send native system notifications for task completion, errors, and reminders, with customizable icons and sounds.
An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test watchers.
A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.
A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.
A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.
Enables interaction with a persistent PowerShell session through LM Studio. Provides tools to run commands, manage directories, and handle environment variables while maintaining session state between calls.
Enables programmatic control of the WezTerm terminal emulator through the Model Context Protocol. It allows users to manage panes, tabs, and windows while reading terminal content or sending commands directly to the terminal environment.
MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.
Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.
Enables AI agents to remotely search, update, manage files, and run terminal commands on a desktop environment via Streamable HTTP with OAuth 2.0, supporting ChatGPT and web agent integrations.
Enables MCP-capable coding agents to discover local development servers, inspect them by port or PID, and safely terminate verified listeners with confirmation and fresh discovery before signaling.
Enables developers to inspect port occupancy with process details, scan common development ports, and terminate processes blocking a specified port via MCP tools.
Enables MCP clients to inspect and repair the Hindsight memory daemon chain by warming its uv environment, starting or restarting the service, checking health, and diagnosing historical start failures. It exposes tools for whole-chain status, intelligent healing, and doctor-style log analysis without requiring a resident supervisor process.
Provides accurate time information from Network Time Protocol (NTP) servers with timezone support and security filtering. Features whitelist-based server approval, blocks unauthorized sources, and delivers structured time output with fallback mechanisms.
Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.
Enables AI agents to plan, confirm, submit, observe, and audit compute jobs across local machines, SSH workstations (including WSL), and Slurm clusters through a unified stdio interface, with node probing, environment evidence, project sync, storage governance, and progress/ETA tracking.