Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.
Sponsored
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
01Supports Kubernetes core resources like Pods, Deployments, and Services.
02Provides human-readable formatted outputs for resources.
03Groups resources by namespace or status automatically.
04Supports Harvester-specific resources like Virtual Machines and Volumes.
05Offers detailed views for comprehensive resource inspection.
060 GitHub stars
Use Cases
01Making Harvester cluster management more accessible to users.
02Enabling natural language interaction with Harvester clusters.
03Simplifying Kubernetes operations for AI assistants.
