mcp-k8s-eye is a Kubernetes management and analysis tool that connects to clusters through the Model Context Protocol. Developed by wenhuwang, it provides capabilities to list, get, delete, and analyze pods, execute commands within containers, and retrieve pod logs. The tool is designed to be integrated with MCP servers, making it accessible for monitoring and managing Kubernetes workloads directly through conversation interfaces. Future development plans include expanding functionality to support services, deployments, ingress, nodes, and cluster-wide analysis.
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.