MCP Kubernetes Server

@guolisen

About MCP Kubernetes Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_k8s_server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-k8s-server",
        "."
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Kubernetes Server?

MCP Kubernetes Server is a Model Context Protocol (MCP) server that provides interfaces for managing Kubernetes clusters. It enables getting information, performing operations, monitoring status, and analyzing resources. It is intended for developers and operators who interact with Kubernetes clusters via MCP-enabled assistants.

How to use MCP Kubernetes Server?

Install via pip install mcp-k8s-server or from source. Run directly with mcp-k8s-server, optionally specifying --transport (stdio or sse), --port, and --config. It can also be run via Docker or deployed as a Kubernetes deployment that uses in-cluster configuration.

Key features of MCP Kubernetes Server

Cluster Information: Get details about pods, deployments, services, etc.
Cluster Operations: Create, update, delete, scale, and restart resources
Monitoring: Check cluster and node status, resource metrics, and health
Analysis: Analyze resources and provide recommendations
Prompts: Includes prompts for common Kubernetes analysis tasks

Use cases of MCP Kubernetes Server

Retrieve detailed information about Kubernetes resources
Perform operations such as scaling deployments or executing commands in pods
Monitor cluster health and resource metrics
Analyze resources for optimization or troubleshooting recommendations

FAQ from MCP Kubernetes Server

How does MCP Kubernetes Server connect to a cluster?

When running inside a cluster, it uses in-cluster configuration automatically. Outside a cluster, it falls back to a kubeconfig file (e.g., ~/.kube/config).

What transport protocols are supported?

The server supports both stdio and SSE (Server-Sent Events) transports, configurable via the --transport flag.

What are the runtime requirements?

Python 3.12+ is required. The server can be installed via pip or run in a Docker container.

How is the server configured?

Configuration can be provided via a YAML config file, environment variables, or command-line arguments. The config file supports server settings (transport, port, host) and Kubernetes settings (config path, context, namespace).

Frequently asked questions

How does MCP Kubernetes Server connect to a cluster?

When running inside a cluster, it uses in-cluster configuration automatically. Outside a cluster, it falls back to a kubeconfig file (e.g., `~/.kube/config`).

What transport protocols are supported?

The server supports both stdio and SSE (Server-Sent Events) transports, configurable via the `--transport` flag.

What are the runtime requirements?

Python 3.12+ is required. The server can be installed via pip or run in a Docker container.

How is the server configured?

Comments

Basic information

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