radar — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by skyhook-io · MCP Server · ★ 3.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is radar safe to install? View the security audit →

About radar

Radar Modern Kubernetes visibility. Local-first. No account. No cloud dependency. Blazing Fast. 🌐 radarhq.io · Docs · Releases Topology, event timeline, and service traffic — plus resource browsing, Helm management, and GitOps support for FluxCD and ArgoCD. [![Go](https://img.shields.io/badge/Go-1.26+-00ADD8?logo=go&logoColor=

ai-agentsargocdcloud-nativefluxcdgitopshelmk8skubectl-pluginkuberneteskubernetes-dashboard

Quick Facts

Stars3,443
Forks217
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score69.4536052006991/100
Open Issues82
Last Updated2026-09-23
Created2026-01-20
Platformsgo, k8s, mcp
Est. Tokens~21k

Compatible Skills

These tools work well together with radar for enhanced workflows:

  • kite — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • fulling — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • openclaw-operator — semantic(0.38)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • ClawManager — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)
  • kubernetes-skill — semantic(0.63)+complementary+rare_topics+shared_platform (56%)

radar alternative? Top 6 similar tools

Looking for a radar alternative? If you're comparing radar with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • MCPJungle by mcpjungle · ⭐ 1.2k

    One place to manage & connect to all your MCP servers

  • tyk by TykTechnologies · ⭐ 10.8k

    Open Source API and AI Gateway supporting REST, GraphQL, TCP, gRPC and MCP (Model Context Protocol)

  • linkedin-mcp-server by stickerdaniel · ⭐ 3.6k

    Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies

  • metamcp by metatool-ai · ⭐ 2.7k

    MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

  • mcp-memory-service by doobidoo · ⭐ 2.0k

    Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl

  • agents by inkeep · ⭐ 1.4k

    Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistant

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Frequently Asked Questions

What is radar?

radar is 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 clus. It is categorized as a MCP Server with 3.4k GitHub stars.

What programming language is radar written in?

radar is primarily written in Go. It covers topics such as ai-agents, argocd, cloud-native.

How do I install or use radar?

You can find installation instructions and usage details in the radar GitHub repository at github.com/skyhook-io/radar. The project has 3.4k stars and 217 forks, indicating an active community.

What license does radar use?

radar is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to radar?

The top alternatives to radar on Agent Skills Hub include MCPJungle, tyk, linkedin-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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