Set up kubeledger in OpenAI Agents SDK

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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 via OpenAI Agents SDK
# transport: unknown
# launch: the server's install method

OpenAI Agents SDK connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps

Make sure OpenAI Agents SDK is installed and up to date.
Wire the server into OpenAI Agents SDK using its MCP client API.
Provide any required API keys/credentials as environment variables.
Restart OpenAI Agents SDK and confirm kubeledger’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose VS Code 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