Set up kubeledger in Goose

communityunknownunknownno verified config · noindex

System of Record for Kubernetes cost accounting: per-namespace CPU, memory and GPU usage, with the 30% non-allocatable overhead made visible. Connects to AI assistants via MCP (Claude, Gemini, Mistral, Cursor) for plain-language analysis. Formerly Kube-Opex-Analytics.

01Configuration

# kubeledger: no install method on record yet.

No runnable install method captured for this server yet, so a verified setup config can't be generated.

02Steps

Make sure Goose is installed and up to date.
Open ~/.config/goose/config.yaml and add the block above (merge into any existing mcpServers).
Provide any required API keys/credentials as environment variables.
Restart Goose and confirm kubeledger’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue VS Code OpenAI Agents SDK LangGraph CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 01:12Z

sourcesGitHub repo search [p4]

Next step

Ship kubeledger to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives