Radar

You don't need an AI SRE. Give your agent Radar.

Radar Introduction

Radar is an open-source tool that gives AI coding agents context about your Kubernetes cluster. It exposes ranked issues, a change timeline, logs, and service owners over MCP so agents like Claude Code, Codex, or Cursor can investigate failing workloads read-only and report root causes with supporting evidence. Radar Cloud additionally investigates alerts and posts findings to Slack.

Key Features

Serves Kubernetes cluster context to AI agents over MCP
Ranked issues, change timeline, logs, and owners in a single view
One-click Investigate on failing workloads for read-only root cause analysis with evidence
Open source core with a Radar Cloud option that investigates alerts and posts findings to Slack

Use Cases

Debugging Kubernetes incidents with AI coding agents
Investigating failing workloads and identifying root causes
Routing alert findings to engineering teams via Slack
Giving agents cluster-specific context they would otherwise lack

Why Startups Use It

Startups running Kubernetes can use Radar to let their existing AI coding agents diagnose cluster issues with real context, turning alerts into evidence-backed root cause analysis without building that tooling in-house. The open-source core makes it easy to evaluate alongside existing agent workflows.

Alternative Options

K8sGPT, HolmesGPT, Klarna AI

Frequently Asked Questions

What is Radar?

Radar is an open-source tool that gives AI agents context about your Kubernetes cluster, including ranked issues, a change timeline, logs, and owners, delivered over MCP.

Which AI agents does Radar work with?

The listing names Claude Code, Codex, and Cursor as agents that can use Radar to investigate failing workloads.

Is Radar free?

The core product is described as open source. No pricing details are provided in the listing, so users should check the official site for current information.

More About Radar

Pricing

Paid

Listed Date

Oct 30, 2026

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