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"Integrating Claude Desktop with a Local LLM using the LMStudio API" matching MCP servers:

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    Enables Claude Code to send prompts to Claude Desktop using macOS automation and AppleScript. Supports conversation management and configurable response polling, though reading responses back is limited by Electron's accessibility APIs.
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    MCP server that fixes Windows DPI coordinate scaling for AI desktop automation. Provides UI element finding via Windows Accessibility APIs and coordinate conversion between physical and logical coordinate systems.
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    MIT
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    MCP server for controlling a transparent sci-fi cockpit overlay on your desktop, allowing AI agents to spawn, move, configure, and close holographic widgets (clock, system stats, map, etc.) via MCP.
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    MIT
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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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    GNOME desktop automation for AI agents. 30 tools via D-Bus: screenshots, window management, mouse/keyboard injection, clipboard, workspaces, and system notifications. Works on any GNOME 45–49 Linux desktop.
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    GPL 3.0
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    Connect Claude, Cursor, Windsurf and other AI agents to macOS native apps — Mail, Calendar, Contacts, Reminders, Notes, iMessage, Finder, Safari, OmniFocus, Microsoft Teams, Outlook, OneDrive, Word, Excel, PowerPoint, and PDF. 82 tools. All data stays on your Mac.
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    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.
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    MIT
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    Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.
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    MIT
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    Enables AI tools to read and send messages through LINE Desktop via MCP, supporting manual or automatic sending without official LINE API tokens.
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    MIT
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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
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    MIT
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    An MCP server that exposes a perpetual, honest job-application pipeline as typed tools an LLM agent can call, with fit scoring, verified resume building, and a submission planner enforced by code, not prompts.
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    MIT
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    Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.
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    MIT