Kubernetes
K8s MCP Server provides a bridge between AI assistants and Kubernetes clusters, enabling management of various Kubernetes resources through a standardized protocol. This Go implementation supports operations like listing and retrieving pods, deployments, services, and configmaps, as well as performing actions such as scaling deployments and viewing pod logs. The server connects to Kubernetes clusters using either in-cluster configuration or kubeconfig files, with support for read-only mode to prevent destructive operations. Particularly valuable for DevOps workflows, it allows AI assistants to help with cluster monitoring, troubleshooting, and resource management without requiring direct access to kubectl.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/briankscheong/k8s-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.