Harvester

About

Harvester MCP Server bridges the gap between AI assistants and Harvester HCI clusters, a Kubernetes distribution with Harvester-specific CRDs. It allows AI tools like Claude Desktop and Cursor to perform CRUD operations on Harvester clusters using natural language requests. The server translates these requests into Kubernetes operations, interacts with the Kubernetes API, and formats the results into human-readable text optimized for LLM consumption, making complex Kubernetes operations more accessible.

Key Features

• Supports Kubernetes core resources like Pods, Deployments, and Services.
• Provides human-readable formatted outputs for resources.
• Groups resources by namespace or status automatically.
• Supports Harvester-specific resources like Virtual Machines and Volumes.
• Offers detailed views for comprehensive resource inspection.
• 0 GitHub stars

Use Cases

• Making Harvester cluster management more accessible to users.
• Enabling natural language interaction with Harvester clusters.
• Simplifying Kubernetes operations for AI assistants.