Which integrations are available for this server?

Provides 32 tools for managing Kubernetes resources, deployments, services, and cluster operations through real-time interaction with Kubernetes clusters via kubeconfig

How do I use K8s MCP?

This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

K8s MCP

A Kubernetes assistant powered by Model Context Protocol (MCP) and Google Gemini.

Requirements

Python 3.10+
Kubernetes cluster with kubeconfig configured

Related MCP server: Kubernetes MCP Server

Quick Start

Use the Makefile to run different components:

1. MCP Server

Starts the MCP server that communicates with your Kubernetes cluster.

make mcp-server

Requires: Active Kubernetes cluster and configured kubeconfig.

2. CLI Mode

Interactive command-line interface to query your Kubernetes cluster.

make cli

Project Structure

k8s_mcp_server.py    - MCP server implementation
mcp_client.py        - CLI client

Configuration

Ensure your kubeconfig is at ~/.kube/config or set the KUBECONFIG environment variable.

The MCP server exposes 32+ Kubernetes tools for managing resources, deployments, services, and more, including long-running background tasks.

Features

Real-time Kubernetes operations via MCP tools
Interactive chat interface with tool call results
Inline tool call display in messages
Background task execution and asynchronous event streaming
Session persistence

Make Commands

Available make targets (run make <target>):

make help — Show all available commands
make mcp-server — Start the K8s MCP server
make cli — Launch the interactive CLI client
make clean — Remove build artifacts and cache files

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

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Maintenance

ActivityInactive

ResponsivenessOutdated data

Resources

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