industrial-mcp-server-demo

lujin3/industrial-mcp-server-demo

3.2

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The Industrial Equipment Intelligent Operation and Maintenance MCP Server is designed to enhance the efficiency of modern factories by providing real-time monitoring and maintenance tools for industrial equipment.

Tools

  1. get_device_status

    Queries the current status of a specified device.

  2. get_operating_metrics

    Retrieves the latest value and trend analysis of a specified operating metric for a device.

  3. diagnose_fault

    Provides diagnostic results and solutions for a specified fault code or description.

  4. maintenance_schedule

    Returns the next maintenance date, responsible person, and notes for a specified device.

  5. maintenance_history

    Fetches the historical maintenance records of a specified device.

🎯 Demo 场景名称：工业设备智能运维 MCP Server

场景背景

现代工厂依赖大量工业设备，实时监控和维护对保证生产效率至关重要。利用 MCP 协议，构建一套可被 LLM 调用的设备运维工具，帮助实现：

  • 设备状态查询
  • 运行指标获取
  • 故障诊断建议
  • 维护计划提醒
  • 设备历史维护记录

功能设计

  1. 设备状态查询（工具名：get_device_status）

    • 输入参数：设备 ID
    • 返回设备当前运行状态（正常、异常、维护中）及基本信息

  2. 运行指标获取（工具名：get_operating_metrics）

    • 输入参数：设备 ID，指标类型（温度、振动、功率等）
    • 返回设备该指标的最新数值及趋势分析简报

  3. 故障诊断建议（工具名：diagnose_fault）

    • 输入参数：设备 ID，故障代码或描述
    • 返回对应的诊断结果和解决建议

  4. 维护计划提醒（工具名：maintenance_schedule）

    • 输入参数：设备 ID
    • 返回下次维护时间、负责人和注意事项

  5. 设备历史维护记录 (工具名: maintenance_history)

    • 输入参数: 设备 ID
    • 返回设备的历史维护记录

用户交互示例

用户提问调用工具返回示例
查询设备编号为D-1001的状态？get_device_status{"device_id":"D-1001","status":"正常","last_checked":"2025-07-15 08:00"}
获取设备D-1001的温度是多少？get_operating_metrics{"device_id":"D-1001","metric":"temperature","value":75,"trend":"稳定"}
故障码E101的解决方案？diagnose_fault{"device_id":"D-1001","fault_code":"E101","diagnosis":"检查冷却系统是否堵塞"}
设备D-1001下次维护时间？maintenance_schedule{"device_id":"D-1001","next_maintenance":"2025-08-01","responsible":"张工","notes":"注意润滑油更换"}
设备D-1001维护记录？maintenance_history[ {"date": "2025-06-01", "engineer": "张工", "content": "更换润滑油"},{"date": "2025-05-15", "engineer": "李工", "content": "调整传动轴并清理灰尘"}]

使用

   python main.py

连接地址: http://127.0.0.1:8000/mcp