VMware AIops is an AI-powered tool for managing the lifecycle and deployment of VMware vCenter/ESXi virtual machines, offering various capabilities across multiple categories.
From the registry: AI-powered VMware vCenter/ESXi monitoring and operations with 20 MCP tools.
$ curl -LsSf https://astral.sh/uv/install.sh | sh$ uv tool install vmware-aiops && mkdir -p ~/.vmware-aiops && cp config.example.yaml ~/.vmware-aiops/config.yamlPlease install the `vmware-aiops` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.10+** — Required
- **uv** — Python package manager Run: `curl -LsSf https://astral.sh/uv/install.sh | sh`
- **VMware config file** — Create ~/.vmware-aiops/config.yaml with vCenter/ESXi targets and .env with passwords Run: `uv tool install vmware-aiops && mkdir -p ~/.vmware-aiops && cp config.example.yaml ~/.vmware-aiops/config.yaml`
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["--from","vmware-aiops","vmware-aiops-mcp"]
- optional environment variables:
- `VMWARE_AIOPS_CONFIG`: Path to config.yaml (defaults to ~/.vmware-aiops/config.yaml) (example: `/path/to/config.yaml`)
Note: VMware vCenter/ESXi VM lifecycle management. 31 tools across VM lifecycle, deployment, guest ops, plan/apply, cluster management. Part of a family of VMware MCP skills (monitor, storage, vks). Passwords stored in .env file.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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