What are the requirements for Kubernetes MCP Server?
Rust 1.70 or later, kubectl installed and configured, a Kubernetes cluster with appropriate permissions, and a configured kubeconfig.
@wasilak
Basic information
An experimental Model Context Protocol (MCP) server that exposes Kubernetes resources to AI chat interfaces.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An experimental Model Context Protocol (MCP) server that exposes Kubernetes functionality to AI chat interfaces through kubectl, allowing AI assistants to analyze and manage cluster resources using familiar kubectl commands.
Install by cloning the repository and building with cargo build --release, then configure your AI assistant to use the server (instructions depend on your AI platform).
kubectl tool for executing any kubectl commandRust 1.70 or later, kubectl installed and configured, a Kubernetes cluster with appropriate permissions, and a configured kubeconfig.
It uses your default kubeconfig and kubectl installation.
Run with appropriate RBAC permissions, consider implementing command validation or whitelisting, monitor and audit command execution, and use it in a controlled environment.
The README describes it as experimental and a demonstration of how to integrate Kubernetes with AI assistants.
Yes, it provides a single `kubectl` tool that can execute any kubectl command, giving AI assistants full access to your cluster's capabilities.
MCP server connecting to Kubernetes
Open source MCP Servers for AWS

Model Context Protocol Servers
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
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