Skip to main content
Glama

Related Servers

Alternatives to industry4-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      F
      maintenance
      MCP server for industrial PLC integration, enabling AI to read tags, monitor alarms, and interact with Allen-Bradley ControlLogix PLCs via natural language.
      9
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that lets AI models read and control industrial devices via standardized protocols like Modbus, OPC UA, and MQTT, with simulation and real hardware modes.
      3
      MIT
    • F
      license
      B
      quality
      B
      maintenance
      Universal MCP server for industrial PLC communication, enabling AI agents to read sensors, alarms, status, setpoints, and write setpoints via adapters for Modbus, S7, or custom PLCs.
      6
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      An open-source MCP server that bridges AI models with industrial equipment, supporting multiple protocols like Modbus, OPC UA, and MQTT for reading data and controlling machines.
      2
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that exposes live network monitoring data as Resources and diagnostic capabilities as Tools, letting AI assistants query network health conversationally.
      6
      MIT

    TDQS

    A3.6/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a clearly distinct domain: sensor normalization, flow rerouting, energy optimization, maintenance prediction, parameter adjustment, and compliance reporting. There is no overlap in purpose, and an agent can easily select the right tool based on the task.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., normalize_sensor_tags, optimize_energy_schedule, generate_compliance_audit_trail). This predictability makes the toolset easy to navigate and understand.

    Tool Count5/5

    With 6 tools, the server is well-scoped for an Industry 4.0 domain without being overwhelming. Each tool earns its place by covering a different aspect of smart manufacturing operations.

    Completeness4/5

    The toolset covers a broad set of Industry 4.0 use cases: data normalization, dynamic rerouting, energy optimization, predictive maintenance, quality control, and compliance. Minor gaps exist (e.g., no explicit production monitoring or batch tracking), but agents can work around them with the provided capabilities.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues