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VMware-AIops Skill

AI Agent SkillCloud & DevOpsPythonOpen source

VMware-AIops is a Python AI agent skill for Claude Desktop, Cursor, VS Code with npx, uvx/pip, docker. VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

How to use VMware-AIops Skill

Install or run

git clone https://github.com/zw008/VMware-AIops.git
cd VMware-AIops
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Client configuration

startCommand:
  type: stdio
  configSchema:
    type: object
    properties:
      config_path:
        type: string
        description: "Path to vmware-aiops config.yaml (default: ~/.vmware-aiops/config.yaml)"
    required: []
  commandFunction: |
    (config) => ({
      command: "python",
      args: ["-m", "mcp_server"],
      env: config.config_path ? { VMWARE_AIOPS_CONFIG: config.config_path } : {}
    })

Compatible clients

Claude DesktopCursorVS CodeCodex

What is VMware-AIops Skill?

VMware-AIops is a Python AI agent skill for Claude Desktop, Cursor, VS Code with npx, uvx/pip, docker. VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
85/100
Maintenance signal
95/100
Adoption signal
42/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Reusable instructions support
  • Includes SKILL.md support
  • Shell commands support
  • Browser use support
  • OpenAI provider support
  • Anthropic provider support
  • Google provider support

Available tools

running

Technical details

Install or run VMware-AIops using npx. Check zw008/VMware-AIops for the latest setup command.

npxuvx/pipdockergit cloneremote URLClaude DesktopCursorVS CodeCodex
  • Built for Python
  • Built for Node.js
  • Built for Docker
  • Install or run with npx
  • Install or run with uvx/pip
  • Install or run with docker
  • Install or run with git clone
  • Install or run with remote URL

Requirements and access

PythonNode.jsDockerMIT licenseAPI key requiredAPI key requiredDatabase accessNetwork access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

Destructive actionsWrite actionsRead-only modeDatabase accessNetwork accessCredentials requiredCan write or update dataMay support destructive actionsAPI key required authenticationHosted or remote

When to use VMware-AIops Skill

  • Use it for reusing agent instructions, scripts, and references.
  • Use it for agent skills workflows.
  • Use it for coding workflows.
  • Use it for data workflows.
  • Use it for claude desktop users.

Built with

PythonNode.jsDockernpxuvx/pipdockergit cloneremote URLClaude DesktopCursorVS CodeCodex

Explore related resources

Frequently asked questions

What is VMware-AIops?

VMware-AIops is a Python AI agent skill for Claude Desktop, Cursor, VS Code with npx, uvx/pip, docker. VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

Who is VMware-AIops best for?

VMware-AIops is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, claude desktop users.

How do I install VMware-AIops?

Install or run VMware-AIops using npx. Check VMware-AIops for the latest setup command.

Is VMware-AIops actively maintained?

VMware-AIops may need a closer maintenance check before production use.

Share:

Stars
50
Forks
9
Last commit
1 month ago
Repository age
5 months
License
MIT

Auto-fetched from GitHub.

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