# skyhook-io/radar

The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.

Repository: https://github.com/skyhook-io/radar
Canonical: https://ross.abutalabs.com/products/radar
Homepage: https://radarhq.io
Language: Go
License: Apache-2.0
License Family: permissive
Topics: argocd, cloud-native, gitops, helm, k8s, kubectl-plugin, kubernetes, kubernetes-dashboard, kubernetes-monitoring, kubernetes-tools, kubernetes-ui, mcp-server, ai-agents, fluxcd, kubernetes-debugging, kubernetes-mcp, kubernetes-troubleshooting, mcp, model-context-protocol, self-hosted
Last push: 2026-08-26T22:12:59+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 16
- inputs: {"age_days": 226, "days_push": 7, "days_rel": 7, "gap_med": 0.0, "n_releases_24m": 123}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3131, forks 184 (observed 2026-08-28T04:07:44.557757+00:00)

## What it is
Radar is an open-source Kubernetes UI and visibility tool shipped as a single Go binary, offering topology, event timelines, Helm, GitOps, traffic, cost, audit, and upgrade-impact views. It also exposes a built-in MCP server so AI agents like Claude or Cursor can inspect and troubleshoot clusters.

## Use cases
- visualize kubernetes cluster topology and resources
- debug crashing pods and troubleshoot kubernetes incidents
- give ai agents mcp access to kubernetes cluster state
- audit helm releases and gitops deployments across clusters
- check kubernetes upgrade impact before version bumps
- monitor cluster events and service traffic from a laptop

## When to choose
- you want a kubernetes dashboard without installing anything in-cluster
- you need fast visibility on large clusters with a single binary
- you want to wire cluster context into MCP-aware AI tools
- you prefer open-source tooling with no account or cloud dependency

## When to avoid
- you need fleet-wide aggregation, SSO, or persistent retention without paying for Radar Cloud
- you only use kubectl and prefer a pure CLI workflow
- you need deep metrics dashboards like Prometheus/Grafana provides

## Facets
- artifact type: application
- maturity: active
- function: monitoring, mcp, developer-tools, cli, gui, search-engine, logging, security
- domain: monitoring, self-hosted, developer-tools, cloud-computing
- platform: windows, cli, self-hosted
- tags: kubernetes-ui, kubectl-plugin, mcp-server, gitops, helm, argocd, fluxcd, cluster-troubleshooting, single-binary, observability, kubernetes, devops, containers, linux, macos, docker, desktop

## Member repositories
- skyhook-io/radar (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:44.557757+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:26:11.458809+00:00, confidence not recorded.
  - readme: https://github.com/skyhook-io/radar (fetched 2026-08-28T04:07:44.557757+00:00, sha b581615e5085)
  - homepage: https://radarhq.io (fetched 2026-08-29T09:41:06.559036+00:00, sha 69c7f1d9ba92)
  - site_page: https://radarhq.io/docs (fetched 2026-08-29T09:41:06.568040+00:00, sha a885f692cc95)
  - site_page: https://radarhq.io/about (fetched 2026-08-29T09:41:06.576918+00:00, sha 7a96d10e3de9)
  - site_page: https://radarhq.io/docs/install (fetched 2026-08-29T09:41:06.579246+00:00, sha bc2b91aaf950)
  - site_page: https://radarhq.io/pricing (fetched 2026-08-29T09:41:06.569796+00:00, sha c5f725d04478)
  - site_page: https://radarhq.io/changelog (fetched 2026-08-29T09:41:06.572191+00:00, sha 517d47aa37a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.