# See repository for install instructions
{
"mcpServers": {
"containers-kubernetes-mcp-server": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"containers-kubernetes-mcp-server": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"containers-kubernetes-mcp-server": {
"command": "npx",
"args": []
}
}
}
About This MCP Server
The io.github.containers/kubernetes-mcp-server is an MCP server that provides a centralized management interface for model context information, enabling connections to Kubernetes environments and facilitating containerized deployments, which developers can utilize when they need to manage and orchestrate model contexts in cloud-based containerized applications. This server is particularly useful when working with AI coding assistants that require access to model context data. It allows developers to integrate model context management with their Kubernetes workflows.
An MCP server that provides [describe what your server does]. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport.
What tools does it provide?
The kubernetes-mcp-server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.
