Proxmox
This MCP server provides complete Proxmox virtualization platform management, enabling AI assistants to monitor cluster health, manage virtual machines and containers, and execute commands within VMs through the Proxmox API. Built using Python with the proxmoxer library and FastMCP framework, it offers cluster-wide resource monitoring with node status and storage information, VM lifecycle management including creation with customizable specifications and power operations (start, stop, shutdown, reset, delete), command execution within VMs via QEMU guest agent integration, and storage pool monitoring across the cluster. The implementation includes token-based authentication, comprehensive error handling with fallback mechanisms for partial data availability, and styled output formatting with color-coded status indicators, making it valuable for datacenter automation, infrastructure monitoring workflows, and any use case requiring programmatic control over Proxmox virtualization environments.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/agentify-sh/cursor-proxmox-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Proxmox from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.