by vmware-skills · MCP Server · ★ 67
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VMware AIops Author: Wei Zhou, VMware by Broadcom — wei-wz.zhou@broadcom.com This is a community-driven project by a VMware engineer, not an official VMware product. For official VMware developer tools see developer.broadcom.com. English | 中文 AI-powered VMware vCenter/ESXi VM lifecycle and deployment tool — 60 tools. Companion skills handle everything else: Need read-only monitoring only? Use VMware-Monitor — zero destructive code in the codebase. [](https://github.com/vmw
| Stars | 67 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.3726487715997/100 |
| Last Updated | 2026-08-06 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~24k |
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VMware-AIops is VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill. It is categorized as a MCP Server with 67 GitHub stars.
VMware-AIops is primarily written in Python. It covers topics such as agent-skills, ai-skill, aiops.
You can find installation instructions and usage details in the VMware-AIops GitHub repository at github.com/vmware-skills/VMware-AIops. The project has 67 stars and 9 forks, indicating an active community.
VMware-AIops is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to VMware-AIops on Agent Skills Hub include VMware-AIops, agent-skills, ai-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.