Harvester MCP Server
Model Context Protocol (MCP) server for Harvester HCI
What is Harvester MCP Server?
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.
As an MCP (Model Context Protocol) server, Harvester MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
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.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Harvester MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Harvester MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.