"General context or information search" matching MCP servers:

Enables AI assistants to search and retrieve encrypted local screen history, including OCR text, recent activity, context around moments, daily rollups, and screen snapshots.

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

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.

Enables access to and searching of browser history from major browsers (Brave, Chrome, Firefox, Safari, Edge, Arc, Opera, DuckDuckGo) to personalize LLM interactions and retrieve past browsing data through natural language queries.

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.

Fast file search across Windows (Everything SDK), macOS (Spotlight/mdfind) and Linux (locate/plocate). Single search tool with platform-specific filters, sorting and an optional configurable tool name.

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.

A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

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.

Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.

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

Enables general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.

Enables AI models to use custom tools defined in TypeScript — such as launching applications on the user's computer, reading notes, or calling APIs — exposed over the Model Context Protocol. Includes minimal example tools (current time, greeting, listing and opening installed apps) and connects to clients like opencode, Claude Desktop, or Cursor.

Enables searching Mercadona Online products and reading or carefully updating a user's cart via the Model Context Protocol from the command line or ChatGPT Web.

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.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

Enables reading, searching, and sending iMessages on macOS by accessing the local messages database and utilizing AppleScript. Users can list conversations, search message history, and send messages to individuals or group chats directly through the Model Context Protocol.

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.

Get information about the current operating environment

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.

This server provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.

A Model Context Protocol server that enables remote management of Android devices over WiFi, including taking screenshots, listing connected devices, and retrieving device information.

Enables remote control and automation of Android devices through the Model Context Protocol, supporting UI interactions, app management, ADB commands, screenshots, and device information retrieval via AutoBot API.

A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.

A Model Context Protocol (MCP) server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.

A server that bridges the Model Context Protocol (MCP) to native OS functionalities, allowing AI assistants to open URLs, manage clipboard content, and retrieve date information.

A Model Context Protocol server that enables AI assistants to execute PowerShell commands, retrieve system information, manage modules, and run scripts on Windows systems.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

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.