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hexstrike-ai vs filesystem

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

hexstrike-ai
by 0x4m4
filesystem
by modelcontextprotocol
Stars★ 8,764★ 85,748
30d uses
Score5877
Official
Categories
SecurityDeveloper ToolsAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit1 mo agothis month

hexstrike-ai · Summary

HexStrike AI is an advanced MCP server that lets AI agents autonomously run 150+ cybersecurity tools for pentesting and security research.

filesystem · Summary

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

hexstrike-ai · Use cases

  • Automated penetration testing with AI agents selecting optimal tools and strategies
  • Bug bounty automation by combining multiple security tools with intelligent analysis
  • Security research with AI agents discovering and documenting vulnerabilities

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

hexstrike-ai · Install

Installation

# 1. Clone the repository
git clone https://github.com/0x4m4/hexstrike-ai.git
cd hexstrike-ai

# 2. Create virtual environment
python3 -m venv hexstrike-env
source hexstrike-env/bin/activate  # Linux/Mac
# hexstrike-env\Scripts\activate   # Windows

# 3. Install Python dependencies
pip3 install -r requirements.txt

# 4. Start the server
python3 hexstrike_server.py

Claude Desktop Integration

Edit ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "hexstrike-ai": {
      "command": "python3",
      "args": [
        "/path/to/hexstrike-ai/hexstrike_mcp.py",
        "--server",
        "http://localhost:8888"
      ],
      "description": "HexStrike AI v6.0 - Advanced Cybersecurity Automation Platform",
      "timeout": 300,
      "disabled": false
    }
  }
}

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.