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  • A
    license
    A
    quality
    C
    maintenance
    Provides read-only access to host system metrics (CPU, memory, disk), Docker container health/logs, and sandboxed log file analysis via MCP tools, enabling AI agents to monitor enterprise infrastructure safely.
    3
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Enables Claude to monitor CPU, memory, disk, processes, network connections, Docker containers, and system logs for system diagnostics and troubleshooting.
    5
    -
  • A
    license
    A
    quality
    F
    maintenance
    Provides system hardware information (CPU, memory, storage, etc.) and system status (OS, network, resource usage) via MCP tools.
    2
    7 npm
    ISC
  • F
    license
    A
    quality
    C
    maintenance
    Enables observation-only system inspection through MCP, exposing system identity, resources, process summary, and network summary without any mutation or command execution.
    4
    -
  • A
    license
    A
    quality
    D
    maintenance
    A lightweight server that provides real-time system information including CPU, memory, disk, and GPU statistics for monitoring and diagnostic purposes.
    1
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Exposes system telemetry tools to retrieve CPU, memory, disk, battery, network, process, and GPU metrics from a local machine.
    8
    -
  • F
    license
    A
    quality
    B
    maintenance
    MCP server enabling AI agents to manage and monitor Synology NAS via official DSM API, including file operations, system stats, backups, downloads, and camera lists.
    15
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.
    42
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.
    11 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Read-only MCP server for observing Linux hosts (systemd, ZFS, Docker, VMs, network, hardware, NixOS) as a graph of objects with provenance. Provides seven tools to list hosts, get status, collections, objects, evidence, lookup, and changes.
    1
    GPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides a read-only summary of Ubuntu server status including system version, resource usage, apt updates, service health, security logs, and hardware information to AI clients via MCP tools.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.
    7 npm
    ISC
  • F
    license
    Not graded
    quality
    C
    maintenance
    Provides real-time Linux system monitoring for CPU load, memory usage, disk space, and process activity. This server enables users to retrieve comprehensive performance metrics and resource utilization data through a standardized interface.
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables AI clients to access real-time system information such as memory and swap usage from a Linux machine via MCP tools.
    1
    -
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables autonomous infrastructure health management by exposing tools for retrieving system logs, querying a knowledge base, executing SQL analytics, and simulating system commands, all integrated into an AI-driven incident response workflow.
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