Kubernetes
The MCP Kubernetes Server provides a bridge between Large Language Models and Kubernetes clusters through a set of specialized tools. Built with Python using the FastMCP framework, it wraps kubectl commands to enable operations like retrieving pod information, managing deployments, switching contexts, and troubleshooting cluster issues. The server requires a configured kubectl environment and can be integrated with Claude Desktop for seamless natural language interactions with Kubernetes resources. It's particularly valuable for DevOps workflows that benefit from conversational interfaces to Kubernetes, allowing users to create, scale, and monitor resources without remembering exact kubectl syntax.
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/abhijeetka/mcp-k8s-server
- 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.