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LitterBox vs filesystem

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

LitterBox
by BlackSnufkin
filesystem
by modelcontextprotocol
Stars★ 1,422★ 85,748
30d uses
Score5377
Official
Categories
SecurityDeveloper ToolsAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguageYARATypeScript
Last committhis monththis month

LitterBox · Summary

Red team payload sandbox with EDR integration and MCP tools for automated analysis.

filesystem · Summary

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

LitterBox · Use cases

  • Red teams testing payloads against EDR detection systems
  • Malware analysts evaluating detection bypass techniques
  • Security researchers developing and testing YARA rules

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

LitterBox · Install

Installation

**Windows:**

git clone https://github.com/BlackSnufkin/LitterBox.git
cd LitterBox
python -m venv venv
.\venv\Scripts\Activate.ps1
pip install -r requirements.txt
python litterbox.py

**Linux (Docker):**

git clone https://github.com/BlackSnufkin/LitterBox.git
cd LitterBox/Docker
chmod +x setup.sh
./setup.sh

**MCP Configuration:** Add to Claude Desktop configuration:

{
  "mcpServers": {
    "litterbox": {
      "command": "python",
      "args": ["/path/to/LitterBox/litterbox.py"],
      "env": {}
    }
  }
}

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.