# ai-assisted-pentest-mcp

> ai-assisted-pentest-mcp — rinynoor-ai-assisted-pentest-mcp. Use this tool when you need to perform automated security testing and reconnaissance on web applications without exposing the underlying system to risk. It solves problems related to vulnerability assessment and penetration testing by providing a controlled environment for AI agents to run security checks, including HTTP checks, header inspection, and web enumeration. The tool takes a local OWASP Juice Shop target as input and outputs vulnerability reports, making it ideal for use cases where bounded security testing is required.

Canonical page: https://skillsregistry.net/skills/rinynoor-ai-assisted-pentest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rinynoor-ai-assisted-pentest-mcp

## Description

Enables AI agents to run bounded security reconnaissance tools against a local OWASP Juice Shop target via MCP, including HTTP checks, header inspection, Nmap scanning, and web enumeration, without granting arbitrary shell access.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fn4niwprt3)
- **Repository:** <https://github.com/rinynoor/ai-assisted-pentest-mcp>

## 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": "rinynoor-ai-assisted-pentest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rinynoor-ai-assisted-pentest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rinynoor-ai-assisted-pentest-mcp/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