KubeSphere
KubeSphere MCP Server provides integration with KubeSphere APIs, enabling AI assistants to interact with KubeSphere resources through four tool modules: Workspace Management, Cluster Management, User and Roles, and Extensions Center. Built using Go and the mcp-go library, it supports both stdio and SSE server modes, handles authentication with KubeSphere's API server, and implements pagination for resource listings. The server is particularly valuable for KubeSphere administrators who need to query and manage their Kubernetes clusters, workspaces, projects, and applications through natural language interfaces without navigating KubeSphere's web console.
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/kubesphere/ks-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve KubeSphere 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.