# RAD Security

> Use this tool when you need to enhance security in Kubernetes and cloud environments with AI-powered insights. It solves problems related to vulnerability management, runtime security, and compliance by providing access to security findings, reports, and runtime data through the RAD Security API. This server is ideal for use cases requiring real-time security monitoring and threat detection in cloud-native applications.

Canonical page: https://skillsregistry.net/skills/rad-security-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rad-security-mcp-server

## Description

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pcycut7eq3)
- **Repository:** <https://github.com/rad-security/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rad-security-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rad-security-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rad-security-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt