Hostile‑Command‑Suite MCP Server

MCP servers for automated penetration testing and OSINT.

Local serverstdioPython

What is the Hostile‑Command‑Suite MCP server?

Hostile‑Command‑Suite MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP servers for automated penetration testing and OSINT.

What you get

A terminal-based OSINT investigation framework with AI-powered analysis and intelligent agent decision-making. Features automated profile scraping, multi-platform username investigation, and local LLM integration for enhanced intelligence gathering.

Setting it up

The server ships on PyPI as sherlock-project, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once Hostile‑Command‑Suite is connected, these are the calls the assistant has available:

  • Prerequisites — 1. Install ollama (for AI analysis): bash curl -fsSL https://ollama.ai/install.sh | sh ollama pull qwen3:8b # recommended model
  • Installation — The Installation tool exposed by this server
  • Usage — The Usage tool exposed by this server

Configuration and credentials

  1. Install ollama (for AI analysis): 2. Install OSINT tools: ```bash

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the hostile‑command‑suite mcp server does with a few real requests.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Hostile‑Command‑Suite's toolset — Prerequisites, Installation, Usage — is a fair guide to whether it matches your workflow. It is maintained by cycloarcane; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
Prerequisites1. **Install ollama** (for AI analysis): bash curl -fsSL https://ollama.ai/install.sh | sh ollama pull qwen3:8b # recommended model
InstallationThe Installation tool exposed by this server.
UsageThe Usage tool exposed by this server.

How to install the Hostile‑Command‑Suite MCP server

{
  "mcpServers": {
    "hostile-command-suite": {
      "command": "uvx",
      "args": ["sherlock-project"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  1. Install ollama (for AI analysis): 2. Install OSINT tools: ```bash

Example prompts to try

  • Use Hostile‑Command‑Suite to Prerequisites.
  • Use Hostile‑Command‑Suite to Installation.
  • Use Hostile‑Command‑Suite to Usage.

Frequently asked questions

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.