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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.
    26
    65
    3
    MIT
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    A comprehensive Linux system performance profiler with MCP remote invocation support, featuring advanced process profiling and flame graph generation.
    10
    2
    Apache 2.0
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    Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.
    20
    MIT
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    Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.
    20
    MIT
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    An MCP server for read-only Linux system administration and diagnostics on RHEL-based systems via SSH. It enables users to troubleshoot remote hosts by accessing system information, services, logs, and network configurations through natural language.
    23
    721 PyPI
    315
    Apache 2.0
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    A read-only MCP server for Linux and macOS system administration, diagnostics, and troubleshooting, supporting remote SSH execution and multi-host management.
    Apache 2.0
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    Enables AI agents to control Linux desktops and compositors, including Hyprland/Wayland window management, PipeWire audio routing, systemd diagnostics and self-healing, notifications, screenshots, and optional agent memory.
    MIT
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    Zero-dependency, single-file MCP server for Termux/Android, Raspberry Pi, and Linux. No external dependencies required.
    MIT
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    Lets an AI assistant inspect a Linux machine through ten fixed read-only tools covering load, memory, disks, processes, ports, interfaces, systemd units, the journal, and allowlisted log files. All output is size-capped, control-character-stripped and secret-redacted, and nothing in the package can write to the system.
    MIT
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    This MCP server provides read-only Linux system diagnostics tools for inspecting system information, processes, and log snapshots. It enables AI models to analyze Linux system health, troubleshoot issues, and review security through workflow prompts and HTTP transport with API key authentication.
    MIT
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    Enables AI assistants to read and analyze Linux system logs—including systemd journal, syslog, kernel, application, and Docker container logs—for diagnostics and predictive analysis.
    MIT
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    Enables AI agents to diagnose Linux server incidents by collecting and structuring system diagnostics from multiple servers via SSH, with tools for finding incident clusters, gathering context (memory, CPU, swap, etc.), and running arbitrary commands.
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    Enables MCP-compatible AI clients to securely monitor and manage a self-hosted Linux VPS over SSH, including service status, disk and RAM usage, TLS certificate expiry, fail2ban summaries, and two-step confirmed service restarts or IP unbans.
    4
    MIT
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    MCP server — read-only log access for AI assistants. Debug your Linux server with AI, without giving the AI shell access.
    7
    5
    MIT
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
    10
    MIT
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    Enables monitoring Linux RAM/swap and /tmp tmpfs pressure, detecting and safely sweeping orphaned development workers behind a protected denylist with dry-run safeguards, and removing age-gated stale sockets and scratch caches.
    5
    MIT