kubeledger

by realopslabs · MCP Server · ★ 480

About kubeledger

KubeLedger KubeLedger is the System of Record that tracks the full picture of Kubernetes costs, revealing the 30% hidden in non-allocatable overhead for precise, per-namespace accounting. Note: KubeLedger was formerly known as Kubernetes Opex Analytics aka . Read more about this change in our announcement blog post. To handle the migration in a straightforward way, we have provided a migration procedure. Table of Contents Overview Key Features Quick Start MCP Integration (AI Assistant) / Requires v26.05.0+ Architecture Documentation Configuration Troubleshooting [License

accountingcost-optimizationfinopsgpugreenopskubernetesmonitoringobservabilityrrdtool

Quick Facts

Stars480
Forks56
LanguagePython
CategoryMCP Server
Quality Score70.8946202922075/100
Open Issues5
Last Updated2026-05-25
Created2019-01-12
Platformsclaude-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+shared_platform (55%)
  • renderdoc-skill — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • codeburn — semantic(0.16)+complementary+similar_pop+shared_platform (46%)

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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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