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 | — | — |
| Score | 58 | 77 |
| Official | — | ✓ |
| Categories | SecurityDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this 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.pyClaude 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.