Harvester Server

Category: Cloud DevOps MCP Servers
Tags: mcp, cloud, devops, kubernetes, open-source

Description

Harvester Server is a Go-based MCP (Model Context Protocol) server designed to manage Harvester HCI clusters and Kubernetes resources. It acts as a bridge between AI assistants (like Claude Desktop and Cursor) and Harvester/Kubernetes clusters, enabling natural language interactions for cluster management. The server provides tools for handling both standard Kubernetes and Harvester-specific resources, with human-readable output formatting.

Features

• Go-based MCP Server: Written in Go, enabling efficient performance and ease of deployment.
• Cluster Management: Manage both Harvester HCI clusters and standard Kubernetes resources.
• Human-readable Output: Provides clear, formatted output for easier understanding.
• AI Integration: Enables AI assistants such as Claude Desktop and Cursor to interact with clusters via natural language queries.
• Resource Management:
  • Kubernetes Core Resources:
    • Pods: List, Get, Delete
    • Deployments: List, Get
    • Services: List, Get
    • Namespaces: List, Get
    • Nodes: List, Get
    • Custom Resource Definitions (CRDs): List
  • Harvester-Specific Resources:
    • Virtual Machines: List, Get
    • Images: List
    • Volumes: List
    • Networks: List
• Flexible Configuration:
  • Supports in-cluster config, kubeconfig flag, KUBECONFIG env variable, or default kube config path.
• Command-Line Flags:
  • --kubeconfig: Specify kubeconfig file path
  • --log-level: Set logging verbosity (debug, info, warn, error, fatal, panic)
• Installation Options:
  • From source (build and run)
  • Go install
• Integration Examples:
  • Detailed instructions for connecting with Claude Desktop and Cursor, both globally and per-project.

Pricing

No pricing information provided; the project is open-source.

Source & More Information

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