MCP Kubernetes Server provides a bridge between AI assistants and Kubernetes clusters through kubectl commands. Developed by Pengfei Ni, this implementation exposes a single tool that executes kubectl commands and returns their output, enabling AI assistants to manage Kubernetes resources directly within conversations. The server runs on stdio transport, making it compatible with Claude Desktop integration, and includes error handling for failed command executions. It's particularly valuable for DevOps workflows that require Kubernetes cluster management without leaving the conversation interface.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.