kubeledger

by realopslabs · Python · ★ 482

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

Install

pip install git+https://github.com/realopslabs/kubeledger.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "kubeledger": {
      "command": "uvx",
      "args": [
        "git+https://github.com/realopslabs/kubeledger.git"
      ]
    }
  }
}

From the README

[](https://github.com/realopslabs/kubeledger/releases) [](https://github.com/realopslabs/kubeledger/pkgs/container/kubeledger) ------|-------------| | **Hourly/Daily/Monthly Trends** | Tracks actual usage and requested capacities per namespace, collected every 5 minutes and consolidated hourly | | **Non-allocatable Capacity Tracking** | Highlights system overhead (OS, kubelets) vs. usable application capacity at node and cluster levels | | **Cluster Capacity Planning** | Visualize consumed capacity globally, instantly, and over time | | **Usage Efficiency Analysis** | Compare resource reques…

Read full README on GitHub →

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