kubectl-mcp-server and k8s-mcp-server

Both are MCP servers that expose Kubernetes management capabilities through the same protocol interface, making them direct competitors offering overlapping functionality rather than complementary tools.

kubectl-mcp-server
77
Verified
k8s-mcp-server
56
Established
Maintenance 17/25
Adoption 10/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 21/25
Stars: 847
Forks: 168
Downloads:
Commits (30d): 6
Language: Python
License: MIT
Stars: 149
Forks: 34
Downloads:
Commits (30d): 0
Language: Go
License: MIT
No risk flags
No Package No Dependents

About kubectl-mcp-server

rohitg00/kubectl-mcp-server

A Model Context Protocol (MCP) server for Kubernetes. Install: npx kubectl-mcp-server or pip install kubectl-mcp-server

This tool helps DevOps engineers and SREs manage their Kubernetes clusters by allowing them to use natural language commands with an AI assistant. You input questions or requests like "Why is my pod crashing?" or "Deploy a Redis cluster," and it translates these into Kubernetes actions, providing diagnoses, deployments, and cost optimization insights. It's designed for anyone responsible for maintaining and optimizing Kubernetes infrastructure.

Kubernetes Management DevOps Automation Site Reliability Engineering Cloud Infrastructure Cost Optimization

About k8s-mcp-server

reza-gholizade/k8s-mcp-server

Manage Your Kubernetes Cluster with k8s mcp-server

This project provides a robust gateway for interacting with Kubernetes clusters, allowing you to manage and monitor your deployments programmatically. It takes commands (like listing pods or creating deployments) and configuration (like YAML files) as input and outputs detailed cluster information, logs, and status. This is ideal for DevOps engineers and SREs who need to build custom tools, dashboards, or automation workflows that interact with Kubernetes.

Kubernetes-management DevOps cluster-automation site-reliability-engineering container-orchestration

Scores updated daily from GitHub, PyPI, and npm data. How scores work