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    Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.
    24
    2
    AGPL 3.0
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    Turns any Linux server into an AI-agent-accessible machine over HTTPS, allowing MCP clients like ChatGPT, Claude, and Grok to securely control files, run shell commands, inspect system state, query SQLite, and work with git behind a bearer token.
    74 npm
    4
    MIT
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    Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.
    12
    MIT
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    Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.
    12
    15 npm
    1
    MIT
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    Enables AeyeStudio AI chat to securely access and control local PC resources such as files, Excel, clipboard, apps, and shell through a localhost MCP agent with user approval.
    MIT
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    Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.
    2
    MIT
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    Enables ChatGPT to read and write local files, view the screen, and operate Windows desktop windows, mouse, and keyboard through MCP stdio and OpenAI's Secure MCP Tunnel.
    7
    MIT
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    Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.
    13
    MIT
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    Enables ChatGPT to securely access local files, shell commands, processes, Skills, and external MCP servers through a controlled local bridge with lock/unlock permissions and a Windows desktop control center.
    6 npm
    MIT
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    Enables Claude Code on Windows to read the foreground window's UI Automation tree as structured text and then act on it with real, human-like SendInput mouse and keyboard events. It drives desktop apps through a perceive-decide-act loop without screenshots, a vision model, or any locally hosted LLM.
    MIT
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    Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.
    -
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    Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.
    1
    227 npm
    MIT
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    Provides quick access to local system utilities including time/date, hostname, public IP, directory listings, Node.js version, and port usage through an MCP server interface compatible with Cursor and other MCP clients.
    10
    2
    MIT
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    Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.
    MIT
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    Lets ChatGPT Web act as the reasoning layer for an agent that runs shell commands, reads and writes files inside a constrained workspace, captures screenshots as image content, and controls the mouse and keyboard. It also keeps persistent Markdown memory and identity/skill context files that load automatically into the conversation.
    2
    MIT
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    Enables MCP clients to connect to saved Bizagi Modeler .bpm files, detect the local installation, open models, and retrieve diagram entities and connections with refresh after saves, all within a user-authorized folder.
    MIT
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    A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.
    13
    16 npm
    Mulan Permissive Software , Version 2
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    maintenance
    Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.
    MIT