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lighthouse-mcp-server

v1.0.0

Published

MCP server for using the Lighthouse AI API

Readme

Lighthouse MCP Server

License: MIT

基于腾讯云 Lighthouse API 开发的 MCP (Model Context Protocol) ,为 AI 大模型提供强大的腾讯云轻量应用服务器(Lighthouse)管理能力。支持多种工具类型和智能化的云资源操作。

✨ 核心特性

🚀 多服务支持

  • Lighthouse: 轻量应用服务器管理
  • TAT: 自动化助手工具

🛠️ 丰富功能

  • 实例管理: 查询、启动实例
  • 监控数据: 获取 CPU、内存、网络、磁盘等监控指标
  • 安全管理: 防火墙规则配置和管理
  • 自动诊断: 实例健康检查和风险评估
  • 命令执行: 远程执行 Shell 命令
  • 资源查询: 地域、套餐、镜像等资源信息

🚀 快速开始

NPX 方式(推荐)

在 Claude Desktop 或其他 MCP 客户端的配置文件中添加:

{
  "mcpServers": {
    "lighthouse-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "lighthouse-mcp-server"
      ],
      "env": {
        "TENCENTCLOUD_SECRET_KEY": "YOUR_TENCENT_SECRET_KEY",
        "TENCENTCLOUD_SECRET_ID": "YOUR_TENCENT_SECRET_ID"
      }
    }
  }
}

⚙️ 配置说明

环境变量

| 变量名 | 必需 | 说明 | |--------|------|------| | TENCENTCLOUD_SECRET_KEY | ✅ | 腾讯云 API SecretKey | | TENCENTCLOUD_SECRET_ID | ✅ | 腾讯云 API SecretId |

📊 工具列表

Lighthouse 工具

  • describe_instances - 查询实例列表
  • describe_regions - 查询可用地域
  • start_instances - 启动实例
  • describe_firewall_rules - 查询防火墙规则
  • create_firewall_rules - 创建防火墙规则
  • get_monitor_data - 获取监控数据
  • self_test - 实例自检诊断
  • 更多工具功能请查看完整工具列表

TAT 工具

  • execute_command - 执行远程命令
  • describe_command_tasks - 查询命令任务

🔒 安全特性

  • 命令白名单: 危险命令自动拦截
  • 参数验证: 严格的输入参数校验

📈 监控告警

支持多种监控指标的告警配置:

  • CPU 利用率
  • 内存利用率
  • 网络带宽
  • 磁盘 I/O
  • 流量包使用率

📄 许可证

本项目采用 MIT 许可证。

🆘 支持

如果你遇到问题或有建议,请:

  • 联系维护团队

Made with ❤️ by Lighthouse Team