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Alternatives to linux-diag-mcp

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    Related Servers

    • A
      license
      A
      quality
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      Gives AI agents safe, bounded, non-blocking access to Linux sysadmin inspection tasks, including CPU, RAM and disk healthchecks, memory-safe log tailing with regex filtering, and user-level systemd service and timer auditing. All operations run without sudo or unrestricted root shells, avoiding interactive pager hangs and context window flooding.
      4
      173 PyPI
      1
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.
      18
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    • A
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      Not graded
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      A
      maintenance
      Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.
      1
      MIT
    • A
      license
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      quality
      B
      maintenance
      Enables AI assistants to inspect and safely operate a Linux VPS through typed DevOps tools governed by YAML allowlists, read-only defaults, dry-run plans, secret redaction, and tamper-evident auditing.
      MIT
    • A
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      Not graded
      quality
      B
      maintenance
      A read-only observability server that lets external agentic AI clients query CPU, memory, load, uptime, allowlisted filesystem capacity, bounded process snapshots, and permitted journald logs. It also provides a JSON system summary resource and a safe health-check prompt, with no arbitrary shell or destructive operations exposed.
      MIT
    • A
      license
      A
      quality
      F
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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

    TDQS

    A4/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool maps to a distinct diagnostic concern: host overview, disk, processes, listening ports, interfaces, failed units, journal logs, log-file discovery, single-unit status, and file reads. The closest overlaps—failed_units versus service_status and journal_tail versus read_log/list_logs—are clearly differentiated by scope and source.

    Naming Consistency4/5

    Names are uniformly snake_case and readable, but the set mixes noun-first diagnostic names (system_overview, disk_usage) with verb-first actions (list_logs, read_log). This is a minor convention deviation rather than a confusing inconsistency.

    Tool Count5/5

    Ten tools is well-scoped for a Linux diagnostics server, with each tool covering a meaningful area without redundancy. No obvious filler or missing major tool dominates the count.

    Completeness5/5

    The surface covers the core read-only diagnostic workflow: system state, disk and inode usage, processes, ports, network interfaces, systemd unit health, journal inspection, and log file discovery/reading. Obvious adjacent areas such as dmesg or deeper per-process inspection are minor and mostly reachable through journal or process tools.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing