MCP Tool Ecosystem
Deep Coverage.
Efficient Context by Design.
Each toolset is loaded on-demand, not all at once. The agent starts lean and requests only the schemas it needs for your specific query.
Kubernetes
OrchestrationDiscovery, logs, exec, apply, diff
- Discover resources across namespaces
- Stream pod logs and exec into containers
- Drain and cordon nodes safely
- Preview changes with diff before apply
Read: Auto
Write: Human Approval
Helm
Package ManagementSearch, install, upgrade, rollback
- Install charts with custom values
- Upgrade releases with dry-run preview
- Roll back to any previous revision
- Manage chart repositories
Read: Auto
Write: Dry-run + Diff
Argo Rollouts
Progressive DeliveryPause, resume, promote, abort
- Run canary and blue-green deployments
- Promote or abort with human gate
- Monitor analysis runs and experiments
- Track full rollout history and status
Read: Auto
Write: Human Gate
Jenkins
CI/CDJobs, builds, logs, SCM, identity
- Manage and trigger build jobs
- Stream build logs in real time
- Inspect SCM configurations
- Authenticate via Kubernetes Secrets
Read: Auto
Write: Secure Auth + CSRF
On-Demand Toolset Loading
The agent starts with Kubernetes read-only schemas in context. It calls load_toolset to add Helm, Argo, or Jenkins only when your query needs them. Deep coverage without bloating every turn with unused schemas.
On the Roadmap
AWS
GCP
Azure
GitHub Actions
GitLab CI
Same typed, sandboxed pattern. All open source.
Install and Run Your First Operation
Install Skyflo on your cluster and run your first operation today.
terminal
$
curl -fsSL https://skyflo.ai/install.sh | bash