Kubernetes
This Kubernetes MCP server implementation provides comprehensive cluster management capabilities through multiple tools for listing, describing, and monitoring Kubernetes resources across different contexts. Built in Go by kkb0318, it supports multi-cluster operations with context switching, advanced resource discovery through API group filtering, pod log retrieval with flexible options, and event monitoring with time-based filtering. The server integrates with standard kubeconfig files and offers both summary and detailed views of resources, making it useful for AI-assisted cluster troubleshooting, resource monitoring, and operational tasks across multiple Kubernetes environments.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/kkb0318/kubernetes-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Kubernetes 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.