Harvester MCP Server
Model Context Protocol (MCP) server for Harvester HCI
Overview
What is Harvester MCP Server?
Harvester MCP Server is a Model Context Protocol (MCP) server designed for Harvester HCI, enabling AI assistants to interact with Harvester clusters through the MCP protocol.
How to use Harvester MCP Server?
To use the Harvester MCP Server, clone the repository, build the server, and run it with the appropriate kubeconfig. It can also be integrated with AI assistants like Claude Desktop for querying cluster information.
Key features of Harvester MCP Server?
- Supports CRUD operations on Kubernetes core resources and Harvester-specific resources.
- Provides human-readable formatted outputs and automatic grouping of resources.
- Detailed views for comprehensive resource inspection.
Use cases of Harvester MCP Server?
- Managing Kubernetes clusters with Harvester-specific resources.
- Integrating with AI assistants for querying cluster states.
- Automating resource management tasks in Harvester HCI.
FAQ from Harvester MCP Server?
- What programming language is used?
The server is implemented in Go.
- What are the requirements?
Requires Go 1.23+ and access to a Harvester cluster with a valid kubeconfig.
- Can it be used with other AI assistants?
Yes, it is designed to work with various AI assistants that support the MCP protocol.
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