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rohitg00/kubectl-mcp-server

by Various

Published in CNCF Landscape: A MCP server for Kubernetes.

R

MCP

rohitg00/kubectl-mcp-server

Added 1 June 2026

#ai #deployment #devops #genai #kubernetes #kubernetes-cluster #kubernetes-tools #llms

Overview

An open-source server that implements the Model Context Protocol to let AI assistants execute kubectl commands against Kubernetes clusters. It enables natural-language-driven cluster operations by translating requests into kubectl invocations.

Best for

Best for
Developers and platform engineers wanting to integrate natural language interfaces with Kubernetes operations

Use cases

  • Managing Kubernetes resources via AI chatbot commands
  • Automating routine kubectl workflows through AI agents
  • Querying cluster state and logs without manual kubectl usage

How to use

Install

npx -y kubectl-mcp-server

Tools exposed

  • troubleshoot_workload
  • deploy_application
  • security_audit
  • cost_optimization
  • disaster_recovery
  • debug_networking
  • scale_application
  • upgrade_cluster
  • MCP_DEBUG
  • MCP_LOG_FILE
  • MCP_AUTH_ENABLED
  • MCP_AUTH_ISSUER
  • MCP_AUTH_JWKS_URI
  • MCP_AUTH_AUDIENCE
  • MCP_AUTH_REQUIRED_SCOPES
  • MCP_BROWSER_ENABLED
  • MCP_BROWSER_PROVIDER
  • MCP_BROWSER_PROFILE
  • MCP_BROWSER_CDP_URL
  • MCP_BROWSER_PROXY

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

An open-source server that implements the Model Context Protocol to let AI assistants execute kubectl commands against Kubernetes clusters. It enables natural-language-driven cluster operations by translating requests into kubectl invocations.

902 stars on GitHub. Last updated 2026-04-08. Licensed MIT.

Use cases

  • Managing Kubernetes resources via AI chatbot commands
  • Automating routine kubectl workflows through AI agents
  • Querying cluster state and logs without manual kubectl usage

Pros

  • Published in the CNCF Landscape, indicating community and ecosystem relevance
  • Written in Python, making it accessible for customization and contribution
  • High GitHub stars (902) suggest broad adoption and active interest

Cons

  • Requires kubectl installed and configured on the server host
  • Exposes cluster access to AI agents, requiring careful permission and security controls
  • Limited to the capabilities and output of kubectl commands

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

Pros

  • Published in the CNCF Landscape, indicating community and ecosystem relevance
  • Written in Python, making it accessible for customization and contribution
  • High GitHub stars (902) suggest broad adoption and active interest

Cons

  • Requires kubectl installed and configured on the server host
  • Exposes cluster access to AI agents, requiring careful permission and security controls
  • Limited to the capabilities and output of kubectl commands
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