# blackarch-AI MCP Server

> blackarch-AI MCP Server — pusparaj99op-blackarch-ai. Use this tool when you need to streamline red-team and blue-team security workflows on BlackArch Linux, wrapping local tools like nmap and hydra into manageable MCP tools. It solves problems of unauthorized scanning by enforcing scope-gating through a local scope.yaml file, ensuring secure and controlled vulnerability assessments. Ideal for use cases requiring organized and restricted security testing, with inputs including local tool commands and scope definitions, and outputs of scanned results and vulnerability reports.

Canonical page: https://skillsregistry.net/skills/pusparaj99op-blackarch-ai  
JSON: https://api.skillsregistry.net/v1/skills/pusparaj99op-blackarch-ai

## Description

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vg14uwbaqu)
- **Repository:** <https://github.com/Pusparaj99op/blackarch-AI>

## 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": "pusparaj99op-blackarch-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pusparaj99op-blackarch-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pusparaj99op-blackarch-ai/pull`

---
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