mrostamii/rancher-mcp-server

Overview

A Model Context Protocol server that connects AI agents to the Rancher ecosystem. It enables managing multi-cluster Kubernetes, Harvester HCI resources such as VMs and storage, and Fleet GitOps deployments through the MCP standard.

Best for

Best for
Developers and platform engineers managing Rancher-based multi-cluster environments who want to integrate AI assistants for operational tasks.

Use cases

• Automate Kubernetes cluster management across Rancher-managed clusters via natural language commands
• Provision and manage Harvester virtual machines, storage volumes, and networks through an AI agent
• Control Fleet GitOps deployments, including applying configurations and monitoring sync status

How to use

Install

npm install -g rancher-mcp-server

Tools exposed

• harvester_vm_list
• harvester_vm_get
• harvester_vm_action
• harvester_vm_create
• harvester_vm_snapshot
• harvester_vm_backup
• harvester_image_list
• harvester_image_create
• harvester_volume_list
• harvester_volume_create
• harvester_network_list
• harvester_network_create
• harvester_network_update
• harvester_network_delete
• harvester_subnet_list
• harvester_subnet_create
• harvester_subnet_update
• harvester_subnet_delete
• harvester_host_list
• harvester_host_action

Tested with

Claude Desktop, Claude Code, Cursor, Continue

Notes

A Model Context Protocol server that connects AI agents to the Rancher ecosystem. It enables managing multi-cluster Kubernetes, Harvester HCI resources such as VMs and storage, and Fleet GitOps deployments through the MCP standard.

10 stars on GitHub. Last updated 2026-04-27. Licensed Apache-2.0.

Use cases

• Automate Kubernetes cluster management across Rancher-managed clusters via natural language commands
• Provision and manage Harvester virtual machines, storage volumes, and networks through an AI agent
• Control Fleet GitOps deployments, including applying configurations and monitoring sync status

Pros

• Directly integrates with Rancher, Harvester, and Fleet using the standard MCP protocol
• Written in Go, offering efficient performance and easy deployment as a standalone server
• Enables AI-driven workflows for multi-cluster and hyperconverged infrastructure management

Cons

• Low star count (10) indicates a new project with limited community adoption and testing
• Requires existing Rancher infrastructure, reducing usefulness outside that ecosystem
• Documentation and usage examples may be sparse due to the early stage of the project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.