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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.
    2
    MIT
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    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.
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    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.
    MIT
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    This server provides: * Fast file search capabilities using Everything SDK * Windows-specific implementation * Complements existing filesystem servers with specialized search functionality
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    MIT
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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).
    102
    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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    MIT
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    MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.
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    MIT
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    This MCP server allows AI assistants to read, send, search, and manage emails in Apple Mail on macOS. It uses AppleScript to interact with the Mail app locally.
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    MIT
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    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.
    8
    MIT
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    Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.
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    MIT