SSyncDev

Harvester MCP Server

Model Context Protocol (MCP) server for Harvester HCI

Local serverstdioGo

What is the Harvester MCP Server?

Model Context Protocol (MCP) server for Harvester HCI

The short version

Model Context Protocol (MCP) server for Harvester HCI that enables Claude Desktop, Cursor, and other AI assistants to interact with Harvester clusters through the MCP protocol.

  • Kubernetes Core Resources —
  • Pods: List, Get, Delete
  • Deployments: List, Get
  • Services: List, Get
  • Namespaces: List, Get
  • Nodes: List, Get

What it needs from you

  • Go 1.23+ - Access to a Harvester cluster with a valid kubeconfig

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Harvester MCP Server

{
  "mcpServers": {
    "harvester": {
      "command": "/path/to/harvester-mcp-server",
      "args": ["--kubeconfig", "/path/to/kubeconfig.yaml", "--log-level", "info"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Go 1.23+ - Access to a Harvester cluster with a valid kubeconfig
VariableDescriptionRequired
KUBECONFIGConfiguration value read at startup.Optional

Example prompts to try

  • “Use Harvester to Examples.”

Frequently asked questions

Supported operations include List, Get, and Delete for Pods; List and Get for Deployments, Services, Namespaces, Nodes, and Virtual Machines; List for CRDs, Images, Volumes, and Networks. Writing and creating resources are described in the resource handler architecture but are not yet exposed as tools.

Alternatives to the Harvester MCP Server

Filesystem

Official

Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.

File Systems & StorageTypeScript★ 63.0k

Context7

Official

Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.

Documentation & API ReferencesRemoteTypeScript★ 32.0k

Gitprism

A fast, token-efficient, stateless pipeline that converts public GitHub repositories into LLM-ready Markdown. Deployed as a single Cloudflare Worker

Cloud & DevOpsGo

Wazap

WhatsApp for your agent: chats, messages, media, contacts and groups behind MCP tools.

Communication

MCP

GraphQL MCP server for AI assistants

Developer Tools

BoostSecurity

BoostSecurity MCP acts as a safeguard preventing agents from adding vulnerable packages into projects. It analyzes every package an AI agent

Developer ToolsRemotePython