Kubernetes Eye
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-30.
Scan details: Circle-IR · 2026-09-30 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/wenhuwang/mcp-k8s-eye
- Author type
- human
- Last scanned
- 2026-09-30
- Updated
- 2026-09-30
Use via MCP
Resolve Kubernetes Eye from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.