Kubernetes
This Kubernetes MCP implementation, developed by strowk, provides a versatile interface for language models to interact with Kubernetes clusters. It enables AI agents to perform essential Kubernetes operations such as listing contexts, pods, and events, as well as retrieving pod logs across different namespaces and contexts. The implementation distinguishes itself by offering a dual-purpose design - functioning both as an MCP server and a library for building custom Kubernetes resource servers. By leveraging kubeconfig configurations, it ensures seamless integration with existing Kubernetes setups. This tool is particularly powerful for AI-driven Kubernetes management, debugging, and monitoring tasks, enabling more sophisticated AI assistants that can directly interact with and analyze Kubernetes environments. Its integration with Claude Desktop and straightforward installation process make it easily accessible for developers and DevOps professionals working on advanced AI projects involving Kubernetes automation and management.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/strowk/mcp-k8s-go
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.