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    A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
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    MIT
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    Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.
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    Apache 2.0
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    VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.
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    MIT
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    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
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    MIT
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    A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.
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    Apache 2.0
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    Read-only MCP server to list your SkyNode servers and check their status (IP, state, region, expiry). It does not modify or control servers.
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    MIT
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    Read-only MCP adapter for the Dockhand REST API, enabling secure querying of container environments, networks, stacks, and runtime status via STDIO or authenticated HTTP.
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    No-KYC crypto VPS hosting with an MCP server that lets AI agents provision VPS programmatically. Pay with USDC/USDT on Base and Ethereum, no accounts or verification required.
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    MIT
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    Enables programmatic control and AI-driven E2E testing of iOS virtual machines by exposing display, touch input, and navigation tools. It provides hardware key emulation, app navigation, and raw touch interactions with inline screenshot feedback for real-time visual context.
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    Control and automate FlexSim simulations through AI assistants like Claude, enabling manufacturing and warehouse digital twin analysis, parameter studies, and real-time model manipulation via tools for opening models, running simulations, evaluating FlexScript, and exporting results.
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    MIT
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    Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
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    Apache 2.0
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    Enables AI assistants to manage CloudLab/Emulab experiments, including listing experiments, controlling nodes (reboot, reload, power cycle), retrieving console logs, extending experiment time, and terminating experiments.
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