"Optimizing and Improving Flutter Application Performance" matching MCP servers:

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.

Enables full control of macOS by executing AppleScript commands through an MCP server, allowing automation of tasks, application control, and system management.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

Enables AI assistants to automate macOS through AppleScript and JXA by providing 44 tools for application management, window control, and UI interaction. It allows for comprehensive system control including screen capture, keyboard and mouse simulation, and system information retrieval.

Provides AI assistants with the ability to control Linux desktop environments through tools for file management, application launching, and system operations like clipboard access. It includes a multi-level security model to manage permissions for safe, elevated, and restricted actions.

A Node.js application that enables programmatic interaction with WhatsApp desktop on macOS, allowing users to send messages and check WhatsApp status through AppleScript automation without direct UI interaction.

Enables full local computer control from MCP clients, including terminal commands, file system operations, application management, screen capture, and input device automation across Windows, macOS, and Linux.

Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

MCP server that enables reading and writing macOS system preferences and application settings through the defaults system.

A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.

A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.

A high-performance, cross-platform MCP server for split-screen window management on Windows and macOS, providing 16 window manipulation tools.

An MCP server that enables AI agents to capture targeted screenshots of specific application windows on Windows and Linux, with smart window state restoration and focus management.

Vision-based desktop automation MCP server that controls any application via screenshot and AI vision, enabling UI automation through natural language commands.

An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.

Enables high-speed native macOS automation for Claude by interacting directly with the Accessibility API, AppleScript, and UI trees instead of using screenshots. It allows users to read app states, click elements, and type text semantically across any macOS application.

Provides desktop automation tools for Windows, enabling mouse and keyboard control, screenshots, clipboard management, and application interaction via the MCP protocol.

A minimal server that provides AI assistants with access to Linux kernel tracing capabilities through bpftrace, enabling dynamic tracing and performance analysis via the Model Context Protocol.