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VCF LCM Pre-check Analyzer

该 Skill 提供一个名为 analyze_lcm_precheck 的 MCP 工具,由本地运行的 Python MCP 服务器连接 VMware Cloud Foundation SDDC Manager API,读取 LCM 升级预检查结果、分析失败项并给出即时修复步骤。使用时需配置 SDDC Manager 主机与 API 令牌环境变量,安装依赖并在 MCP 配置中启动服务器。

kasture-rohit
kasture-rohit
热度 43.28
最近更新 2026-05-11 17:40:25
分类:数据依赖:MCP 服务 / 第三方 API / 代码执行应用场景:DevOps / API 集成 / 数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add vcf-lcm-precheck-analyzer
Metadata
name
vcf-lcm-precheck-analyzer
description
An MCP server that interfaces with VCF SDDC Manager to retrieve and analyze LCM upgrade pre-check results, providing instant remediation steps for failures.
version
1.0.1
homepage
https://github.com/kasture-rohit/vcf-openclaw-skills
metadata
{"openclaw":{"requires":{"env":["SDDCMANAGER_HOST","SDDCMANAGER_API_TOKEN"]},"emoji":""}}

VCF LCM Pre-check Analyzer (MCP)

This skill utilizes the Model Context Protocol (MCP) to provide the AI agent with a native analyze_lcm_precheck tool, connecting directly to the VMware Cloud Foundation SDDC Manager API.

Setup Instructions for OpenClaw

To use this skill, the OpenClaw agent must run the attached Python MCP server locally.

  1. Install dependencies: pip install -r requirements.txt
  2. Configure your OpenClaw settings to launch this MCP server by adding the following to your agent's MCP configuration block:
{
  "mcpServers": {
    "vcf-lcm-analyzer": {
      "command": "python",
      "args": ["server.py"],
      "env": {
        "SDDCMANAGER_HOST": "your-sddc-manager-fqdn",
        "SDDCMANAGER_API_TOKEN": "your-api-token"
      }
    }
  }
}