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"A platform for analyzing images using automated tools." matching MCP servers:

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    Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.
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    A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.
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    An MCP server that provides Claude with comprehensive desktop automation capabilities including browser control, window management, and native mouse/keyboard input on Windows. It enables users to capture screenshots, launch applications, and interact with the system clipboard through natural language.
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    A comprehensive MCP server with 30+ custom tools organized into categories: date/time operations, file management, system information, text processing, and web operations. Enables async communication with robust error handling and flexible CLI integration.
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    Windows automation MCP offering * AI Vision (e.g. Click by Description) * Windows UI Automation Tree tools * Chrome Automation via Playwright * Mouse control * Keyboard control * a lot more (>40 tools) Also comes with Python/TypeScript/C# client libs and a Windows Desktop tool to try all the tools.
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    MIT
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    AI-powered MCP server for TrueNAS SCALE storage operations with governance and safety features, enabling management of pools, datasets, snapshots, disks, alerts, and services.
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    MIT
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    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.
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    A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).
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    MIT
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    Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.
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    MIT
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    Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.
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    This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.