Hostile‑Command‑Suite MCP Server

@cycloarcane

代码仓库

基本信息

分类

其他

许可证

NOASSERTION

传输方式

stdio

作者

cycloarcane

关于 Hostile‑Command‑Suite MCP Server

MCP servers for automated penetration testing and OSINT.

Hostile‑Command‑Suite MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Hostile‑Command‑Suite MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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.

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.

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.

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.

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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