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Hostile‑Command‑Suite MCP Server

@cycloarcane

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基本情報

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その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

cycloarcane

Hostile‑Command‑Suite MCP Server について

MCP servers for automated penetration testing and OSINT.

Hostile‑Command‑Suite MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Hostile-Command-Suite": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Hostile‑Command‑Suite MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Hostile‑Command‑Suite?

Hostile‑Command‑Suite is a terminal‑based OSINT (Open Source Intelligence) investigation framework that combines automated profile scraping, multi‑platform username and email discovery, and local AI analysis via Ollama. It is built for security researchers and intelligence analysts who need a self‑contained, offline‑capable toolchain.

How to use Hostile‑Command‑Suite?

Install Ollama and pull a model (e.g., ollama pull qwen3:8b), then install Sherlock and Mosint. Clone the repository, create a Python virtual environment, and install dependencies. Run python3 HCSO.py --interactive for a guided investigation or pass target data directly on the command line (e.g., python3 HCSO.py "John Smith, @johnsmith123, john@example.com"). Use the --model flag to select a different Ollama model.

Key features of Hostile‑Command‑Suite

  • Sherlock integration for username search across 400+ platforms.
  • Mosint integration for email intelligence and breach analysis.
  • Automated profile scraping of discovered accounts.
  • DuckDuckGo web search for comprehensive OSINT gathering.
  • Local Ollama AI for intelligent tool selection and analysis.
  • Rich red/black themed terminal interface with progress indicators.

Use cases of Hostile‑Command‑Suite

  • Investigate a username across dozens of social media platforms.
  • Enrich an email address with breach data and domain information.
  • Compile a public profile from a name, username, and company name.
  • Discover cross‑platform connections and assess exposure levels.
  • Automate lead‑driven pivoting during a threat intelligence investigation.

よくある質問

1

What dependencies are required?

You need Ollama (for AI analysis), Sherlock and Mosint (for OSINT tooling), and a Python virtual environment with the packages in `requirements.txt`. All investigations are run locally.

2

Does the AI analysis send data to the cloud?

No. All AI analysis happens locally via Ollama. No data leaves your machine, and investigation results are not stored long‑term.

3

What license applies to this project?

Hostile‑Command‑Suite is released under the PolyForm Noncommercial License 1.0.0, which permits non‑commercial use only.

4

Can I add my own OSINT tools?

Yes. Create a new MCP server file in `mcp_tools/`, register it in `MCPToolManager`, and update the agent prompts. The README provides step‑by‑step instructions.

5

Is there any rate limiting or ethical guidance?

The README emphasizes legal compliance, authorization, and respecting platform rate limits. The system is designed for defensive security and legitimate research only.

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