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    Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.
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    167
    MIT
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    Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.
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    MIT
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    Enables AI assistants like Claude to manage Docker containers, images, and Docker Compose deployments through the Model Context Protocol. Provides secure container lifecycle management, image operations, and multi-host Docker server connections.
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    MIT
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    Enables AI agents to monitor and read Android notifications in real-time via Termux. Provides access to current notifications with filtering capabilities and real-time streaming of new notifications as they arrive.
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    Functional Source , Version 1.1, MIT Future
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    Enables Claude Desktop and GitHub Copilot to interact with native macOS applications including Spotify, Apple Music, Notes, Calendar, FaceTime, and Contacts through natural language commands. Provides comprehensive control over music playback, note management, calendar events, video calls, and contact operations using AppleScript integration.
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    This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.
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    Apache 2.0
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    Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.
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    MIT
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    Enables AI assistants to control mobile and desktop devices with natural language, including running automation tasks, taking screenshots, and managing devices.
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    MIT
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    Inspect, manage, and kill local dev servers via MCP. Stop guessing what's on :3000. Five tools: list servers with framework detection, inspect ports, find zombies, diagnose conflicts, safe-kill with dry-run default. Local, no cloud, no telemetry.
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    MIT
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    jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.
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    MIT
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    Enables interaction with long-running interactive programs such as SSH, GDB, and REPLs. Provides tools to start, monitor, control, read/write I/O for these processes.
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    MIT
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    A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.
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    Enables AI assistants to remotely control Sipeed NanoKVM hardware for BIOS-level management of servers and headless machines. It provides tools for power control, keyboard and mouse emulation, screen capture, and ISO image mounting via the Model Context Protocol.
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    An MCP server for the Arc browser that enables programmatic management of spaces and tabs. It supports actions like listing, creating, and deleting spaces and tabs, as well as focusing spaces and opening URLs via AppleScript.
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    An automation tool for macOS that uses AppleScript and JXA to manage Discord server setups through AI assistants. It enables the creation and configuration of servers, channels, roles, and settings using pre-built templates or custom commands.
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    SSH MCP Server lets you manage remote Linux servers through natural language in VS Code Copilot Chat. Instead of switching to a terminal and remembering SSH commands
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    MIT
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    A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.
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    42
    1
    MIT