# containers/kubernetes-mcp-server

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Repository: https://github.com/containers/kubernetes-mcp-server
Canonical: https://ross.abutalabs.com/products/kubernetes-mcp-server
Language: Go
License: Apache-2.0
License Family: permissive
Topics: containers, context, kubernetes, mcp, model, openshift, protocol, modelcontextprotocol, kubernetes-mcp
Last push: 2026-08-26T09:39:52+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 83, longevity 40
- inputs: {"age_days": 568, "days_push": 7, "days_rel": 33, "gap_med": 4, "n_releases_24m": 66}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2028, forks 427 (observed 2026-08-28T04:06:06.782960+00:00)

## What it is
A Model Context Protocol (MCP) server that exposes Kubernetes and OpenShift cluster operations to LLM clients. It supports generic resource CRUD, pod management, logs, Helm releases, and Tekton pipelines.

## Use cases
- let an AI assistant manage my kubernetes cluster
- query pod logs and events through an LLM
- install and uninstall helm charts via mcp
- troubleshoot tekton pipelineruns with a chatbot
- run kubectl-like operations from claude or other mcp clients
- manage openshift projects with natural language

## When to choose
- you want LLM-driven cluster inspection and management
- you use MCP-compatible clients like Claude Desktop or VS Code
- you need Helm and Tekton integration in an AI workflow

## When to avoid
- you need a plain CLI or UI rather than an MCP server
- you require strict guardrails against AI-driven cluster mutations
- your environment has no MCP client support

## Facets
- artifact type: service
- maturity: active
- function: mcp, container-orchestration, developer-tools, cli
- domain: developer-tools
- platform: cross-platform, go, python, cli
- tags: kubernetes, openshift, mcp-server, helm, tekton, llm-tools, containers, devops, ai-agents, nodejs

## Member repositories
- containers/kubernetes-mcp-server (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.782960+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:39.459860+00:00, confidence not recorded.
  - readme: https://github.com/containers/kubernetes-mcp-server (fetched 2026-08-28T04:06:06.782960+00:00, sha 109016cfa510)
- Data as of 2026-08-30T08:39:29.467469+00:00.