"Search functionality without API key requirement" matching MCP servers:

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.

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.

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.

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

MCP server that exposes mDNS service discovery functionality via the Model Context Protocol, enabling LLMs to discover and query zero-configuration network services on the local network.

MCP server for managing Karabiner-Elements keyboard remapping rules on macOS, enabling LLMs to search key codes, list/add/edit/remove/toggle rules, and switch profiles through natural language.

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.

A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.

MCP server for macOS desktop automation enabling screenshot, click, type, scroll, and more. Retina-aware, supports CJK text input and multi-monitor, works with any MCP client without API keys.

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.

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.

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.

Enables AI agents to launch, monitor, and manage long-running terminal processes with real-time log capture and search functionality. It features automatic log rotation and graceful process termination to ensure system stability.

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

A Model Control Protocol server that provides access to nmap network scanning functionality, allowing users to run customizable scans, store results, and analyze network security using AI prompts.

A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.

A Model Context Protocol server that wraps AutoIt functionality, enabling LLMs to automate Windows desktop tasks including mouse/keyboard operations, window management, and UI control interactions.

Enables local macOS computer use by letting agents click, type, and inspect accessibility trees without stealing focus, through an unofficial host for OpenAI Computer Use.

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.

A Windows control server built using nut.js and Model Context Protocol (MCP), providing programmatic control over Windows system operations including mouse, keyboard, window management, and screen capture functionality.

Enables natural language calendar management through Fantastical on macOS, allowing users to create events, view schedules, search appointments, and navigate their calendar without leaving their AI conversation.

Enables MCP clients to operate an Android device through constrained ADB tools for device discovery, screenshots, UI inspection, taps, swipes, text entry, key presses, and app package control, without cloud APIs or a built-in language model.

Enables read-only MCP access to Tactical RMM, allowing agents to query devices, clients, sites, audit logs, software, and pending actions without any mutating capabilities.

Gives Claude read-only access to the Microsoft Teams app on macOS through the Accessibility API, letting it list and read chats, teams, channels, posts and threads without Graph API tokens or app registrations. It never posts, replies or reacts.

Enables reading and interacting with native Windows application UI through the UI Automation API, allowing listing windows, extracting structured content, and performing clicks/typing without screenshot-based vision.

Enables MCP-capable applications to access, manage, and analyze system core dumps through integration with systemd-coredump functionality.

A modern Model Context Protocol (MCP) Server for Windows Screenshots built with .NET 10. It simulates Print Screen functionality and enables AI assistants to capture screenshots.

An MCP server for computer automation that provides tools for screenshots, mouse actions, keyboard input, and drag-and-drop functionality. It supports cross-platform desktop interaction for both Linux (X11) and Windows environments.

Enables AI agents to control macOS applications through the Accessibility API, AppleScript, and CGEvents, providing structured text output of UI elements and actions without needing screenshots.

Enables an AI assistant to control a real Android phone through Termux, adb, and a Cloudflare Quick Tunnel, exposing tools for status checks, screenshots, tap and swipe gestures, key presses, app launching, and text entry.