Kubernetes Multi-Cluster Manager
Multicluster-MCP-Server provides a bridge between AI assistants and Kubernetes multi-cluster environments, enabling management of distributed Kubernetes resources. The server exposes tools for listing managed clusters, executing kubectl commands across clusters, and establishing service account connections with appropriate permissions. Built with TypeScript and the Kubernetes client-node library, it handles authentication through service accounts and manages kubeconfig files for seamless cross-cluster operations. This implementation is particularly valuable for DevOps engineers and platform administrators who need to monitor and manage multiple Kubernetes clusters through conversational AI without switching context between different cluster 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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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/yanmxa/multicluster-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Kubernetes Multi-Cluster Manager 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.