"Improving the Thinking Capabilities of My Gemini AI" matching MCP servers:

Enables management of system users through a simple sample API, exposed as MCP tools for natural-language interaction.

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

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.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables AI agents to remotely control gaming PCs for automated gameplay with tools for screen capture, mouse/keyboard control, workflows, and system operations.

Enables AI agents to control macOS by capturing screenshots and performing mouse clicks, movement, dragging, text typing, hotkeys, and scrolling, with support for Gemini's normalized coordinate protocol and Retina display scaling.

A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Native Windows MCP server that gives AI agents full desktop control. 45+ tools using UIAutomation + OCR with automatic dark theme enhancement instead of screenshots. Features batch action sequencing (run_sequence), window occlusion detection, menu navigation, PrintWindow capture, and embedded AI workflow instructions. Single .NET 8 executable — no Python, no Node, no Selenium.

Enables ChatGPT to securely control a Windows PC via a local agent, supporting file operations, Chrome automation, and allowlisted apps with audit logging and approval workflows.

Outbound-only remote shell, detached long-running jobs, and temporary file courier for AI agents. Hosted Streamable HTTP plus stdio via npx -y @aicommander/mcp.

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

Enables controlling your own Linux desktop machines from any MCP-capable LLM client, with opt-in agent capabilities for shell, filesystem, processes, screenshots, system info, and input injection.

MCP server for Kaseya VSA — endpoints, patches, procedures, alarms, and tickets. Enables AI assistants to manage and monitor devices via the Kaseya VSA RMM platform.

A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.

Enables AI assistants to safely perform actions on your computer including file system management, command execution, clipboard access, application launching, and local search with license-based monetization built in.

Enables MCP-compatible clients to inspect the local machine's CPU, memory, and disk information through tools, a structured resource, and an upgrade-assessment prompt.