# mcpradar

> mcpradar — yatuk-mcpradar. Use this tool when you need to protect your AI agents from potential security threats in Model Context Protocol servers. The mcpradar security scanner identifies and mitigates issues such as tool poisoning, prompt injection, and supply-chain attacks, providing a safe environment for AI agent execution. It takes Model Context Protocol server configurations as input and outputs vulnerability reports, allowing for proactive security measures.

Canonical page: https://skillsregistry.net/skills/yatuk-mcpradar  
JSON: https://api.skillsregistry.net/v1/skills/yatuk-mcpradar

## Description

Security scanner for Model Context Protocol servers. Catch tool poisoning, prompt injection, and supply-chain attacks before your AI agent runs them.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/yatuk/mcpradar)

## 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": "yatuk-mcpradar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yatuk-mcpradar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yatuk-mcpradar/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