Enables AI agents to control Digital Loggers (DLI) Web Power Switches for hardware discovery, status querying, and power operations. It features a safety-first architecture with configurable access levels to protect critical infrastructure from unauthorized or accidental power loss.
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 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 an MCP server for local low-power screen vision, enabling AI agents to perform OCR and UI detection on inaccessible screens (games, remote desktops) using NPU acceleration and system OCR.
Enables AI assistants to remotely control Sipeed NanoKVM hardware for BIOS-level management of servers and headless machines. It provides tools for power control, keyboard and mouse emulation, screen capture, and ISO image mounting via the Model Context Protocol.
An MCP server for managing standalone Cisco C-Series rack servers through the Cisco Integrated Management Controller (CIMC) XML API. It provides 16 tools for server lifecycle management, including power control, hardware health monitoring, and BIOS configuration.
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.
A comprehensive Model Context Protocol (MCP) server that gives AI assistants full filesystem access, process management, interactive shell sessions, and async file search capabilities.
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.
Connects AI assistants to Pi-hole network-wide ad blocker, enabling monitoring of DNS traffic statistics, controlling blocking settings, managing whitelist/blacklist domains, viewing query logs, and performing maintenance tasks through natural language.
A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.
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.
A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.
A Model Context Protocol server that enables remote management of Android devices over WiFi, including taking screenshots, listing connected devices, and retrieving device information.
Provides read-only access to native macOS system utilities including disk management, battery status, network configuration, and system profiling through terminal commands. Enables users to retrieve system information and diagnostics from macOS machines via standardized MCP tools.