# Pentest MCP

> Use this tool when you need to streamline penetration testing workflows and integrate multiple security tools into a single interface. The Pentest MCP solves problems of tool fragmentation and complexity, allowing users to input conversational commands and receive outputs of vulnerability scans, password cracking, and web application testing results. It takes natural language inputs and outputs comprehensive security assessment reports, making it ideal for use cases requiring efficient and automated vulnerability testing.

Canonical page: https://skillsregistry.net/skills/dmontgomery40-pentest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dmontgomery40-pentest-mcp

## Description

A Model Context Protocol server that integrates essential penetration testing tools (Nmap, Gobuster, Nikto, John the Ripper) into a unified natural language interface, allowing security professionals to execute and chain multiple tools through conversational commands.

## 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:** security
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pfpsbxlin9)
- **Repository:** <https://github.com/DMontgomery40/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": "dmontgomery40-pentest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-pentest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-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
