Kubernetes
A Kubernetes server that provides cluster management capabilities through 20+ specialized tools for pod operations, deployment management, node administration, and resource monitoring. Built with the FastMCP framework and the official Kubernetes Python client, it offers CRUD operations including pod logs retrieval, deployment scaling, rollout restarts, node cordoning/uncordoning, event monitoring, and YAML resource application with intelligent upsert logic. The implementation includes both a standalone server and a full-stack web application with React frontend, FastAPI backend, and real-time WebSocket streaming for interactive Kubernetes management through natural language conversations powered by Google's Gemini AI, making it useful for DevOps automation, cluster troubleshooting, and AI-assisted infrastructure management workflows.
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/rahul007-bit/k8s-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.