akkireddy-challa/k8s-mcp-server

Overview

Model Context Protocol (MCP) server for debugging, analyzing, and diagnosing Kubernetes clusters directly from AI agents. It exposes Kubernetes operations through the MCP protocol, allowing AI tools to query and interact with cluster resources. Written in Python, it acts as a bridge between AI assistants and Kubernetes APIs.

Best for

Best for
Developers building AI assistants that need read and diagnostic access to Kubernetes clusters.

Use cases

• Enable AI agents to inspect cluster state and logs
• Automate troubleshooting workflows from chat interfaces
• Provide AI-driven analysis of Kubernetes resource configurations

How to use

Install

pip install -r requirements.txt

Tools exposed

• get_cluster_nodes
• get_pod_diagnostics
• get_pod_logs
• list_warning_events
• list_ingresses

Tested with

Claude Desktop

Notes

Model Context Protocol (MCP) server for debugging, analyzing, and diagnosing Kubernetes clusters directly from AI agents. It exposes Kubernetes operations through the MCP protocol, allowing AI tools to query and interact with cluster resources. Written in Python, it acts as a bridge between AI assistants and Kubernetes APIs.

0 stars on GitHub. Last updated 2026-09-08. Licensed MIT.

Use cases

• Enable AI agents to inspect cluster state and logs
• Automate troubleshooting workflows from chat interfaces
• Provide AI-driven analysis of Kubernetes resource configurations

Pros

• Direct integration with MCP-compatible AI agents
• Python-based, leveraging existing Kubernetes client libraries
• Open source with a clear focus on cluster diagnostics

Cons

• Zero stars indicate minimal community adoption or validation
• Requires separate MCP client setup and configuration
• Scope limited to debugging and analysis, not full cluster management

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.