filesystem vs MCP-Kali-Server

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

	filesystem by modelcontextprotocol	MCP-Kali-Server by Wh0am123
Stars	★ 85,748	★ 688
30d uses	—	—
Score	77	52
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	SecurityDeveloper ToolsAI / LLM Tools
Language	TypeScript	Python
Last commit	this month	2 mo ago

filesystem · Summary

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

MCP-Kali-Server · Summary

MCP Kali Server connects AI agents to Linux systems for penetration testing and CTF challenges.

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

MCP-Kali-Server · Use cases

AI-assisted penetration testing with security tools like Nmap and Metasploit
Solving CTF challenges by executing commands and capturing flags
Automating reconnaissance and exploitation tasks for bug bounty hunting

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.

MCP-Kali-Server · Install

Installation

On your Kali Machine

sudo apt install mcp-kali-server
kali-server-mcp

For bleeding edge:

git clone https://github.com/Wh0am123/MCP-Kali-Server.git
cd MCP-Kali-Server
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
./server.py

On your MCP client machine

For local setup:

./client.py --server http://127.0.0.1:5000

For remote setup with SSH tunnel:

ssh -L 5000:localhost:5000 user@LINUX_IP
./client.py --server http://127.0.0.1:5000

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "kali": {
      "command": "python3",
      "args": ["/path/to/MCP-Kali-Server/client.py"],
      "env": {
        "MCP_SERVER_URL": "http://localhost:5000"
      }
    }
  }
}

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