pentester-mcp vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	pentester-mcp by halilkirazkaya	filesystem by modelcontextprotocol
Stars	★ 34	★ 85,748
30d uses	—	—
Score	44	77
Official	—	✓
Categories	SecurityDeveloper ToolsOps & Infra	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	2 mo ago	this month

pentester-mcp · Summary

MCP server integrating 200+ penetration testing tools for AI assistants with Docker sandbox security.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

pentester-mcp · Use cases

AI-powered penetration testing where assistants autonomously discover vulnerabilities and execute appropriate tools
Security education and training where learners can observe ethical hacking techniques through AI interactions
Red team operations where AI assistants assist in identifying security flaws in authorized systems

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

pentester-mcp · Install

Method A: Docker Sandbox (Recommended & Secure)

Clone the repository:

git clone https://github.com/halilkirazkaya/pentester-mcp.git
cd pentester-mcp

Select your Tools (configs/*.yaml):

Open your target configuration file in the configs/ directory (e.g., example-config.yaml) and set true for any tool you wish to enable.

Build and Run the Sandbox:

docker compose up -d --build

Add to Claude Desktop:

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "pentester_mcp": {
      "command": "docker",
      "args": [
        "exec",
        "-i",
        "pentester-mcp",
        "/app/.venv/bin/python",
        "/app/server.py"
      ]
    }
  }
}

Method B: Local Execution (Fastest Setup)

Clone and Setup Virtual Environment:

git clone https://github.com/halilkirazkaya/pentester-mcp.git
cd pentester-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Configure your MCP client to use the specific tools from your local environment.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.