Skip to main content
Glama
JackXuyi

Current operating environment

by JackXuyi

Related Servers

Alternatives to Current operating environment

No user-submitted related servers found.

    Related Servers

    • -
      license
      A
      quality
      Not graded
      maintenance
      Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.
      4
      -
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI assistants to automatically identify which machine they're working with by providing hostname detection and system information including CPU, memory, OS version, and architecture.
      -
    • 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
      17 npm
      ISC
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to retrieve structured information about the local Windows machine, including system specifications, resource health, developer tools, and AI environment, all through a secure, read-only interface.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.
      10
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      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.
      5
      65 npm
      MIT

    TDQS

    A3.5/5.0

    Scored across 28 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific hardware, software, or network components of the operating environment. There is no overlap in functionality; for example, getCpuInfo and getCpuUsage serve different but related purposes without ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using 'get' as the verb and descriptive nouns in camelCase. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming style.

    Tool Count3/5

    With 28 tools, the count is high for a server focused on environment information retrieval. While comprehensive, it may feel heavy and could potentially be streamlined by grouping related data into fewer, more general tools without sacrificing functionality.

    Completeness5/5

    The tool set provides extensive coverage of the operating environment domain, including hardware, software, network, and system details. There are no obvious gaps; it supports a wide range of queries an agent might need for environment analysis.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues