kubeledger

About kubeledger

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.

accounting cost-optimization finops gpu greenops kubernetes monitoring observability rrdtool

Quick Facts

Stars	480
Forks	56
Language	Python
Category	MCP Server
Quality Score	36.55/100
Open Issues	5
Last Updated	2026-05-25
Created	2019-01-12
Platforms	claude-code, gemini, k8s, mcp, python
Est. Tokens	~1352k

Compatible Skills

These tools work well together with kubeledger for enhanced workflows:

cascadeflow — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop (50%)

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Frequently Asked Questions

What is kubeledger?

kubeledger is 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. It is categorized as a MCP Server with 480 GitHub stars.

What programming language is kubeledger written in?

kubeledger is primarily written in Python. It covers topics such as accounting, cost-optimization, finops.

How do I install or use kubeledger?

You can find installation instructions and usage details in the kubeledger GitHub repository at github.com/realopslabs/kubeledger. The project has 480 stars and 56 forks, indicating an active community.

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