Harvester MCP Server

Example Use Cases

• 1

  Perform CRUD operations on Kubernetes and Harvester-specific resources via natural language.

• 2

  Integrate with Harvester clusters to retrieve and manage cluster resources.

• 3

  Human-readable formatted outputs of Kubernetes and Harvester resources optimized for LLM consumption.

Description

Harvester MCP Server is a Go-based implementation of the Model Context Protocol tailored for Harvester HCI, allowing AI assistants like Claude Desktop and Cursor to perform CRUD operations on Kubernetes clusters with Harvester-specific resources. It translates natural language requests into Kubernetes API calls and formats responses for easy consumption by large language models. This makes complex Kubernetes operations accessible through natural language interfaces, enhancing user experience with human-readable outputs and resource grouping.