Database · MODEL CONTEXT PROTOCOL

Andrew Beniash mcp command server

Andrew Beniash mcp command server is a community-listed Model Context Protocol server. Review the source repository before installation.

WHAT IT CONNECTS

What Andrew Beniash mcp command server gives an AI Agent

  • 🔒 Secure command execution with whitelist
  • ✅ User confirmation for all commands
  • 📝 Comprehensive audit logging
  • 🔍 Input validation and sanitization
  • 🤖 Claude Desktop integration
  • [Installation Guide](./docs/installation.md)
  • [Security Guidelines](./docs/security.md)
  • [API Reference](./docs/api.md)
  • [Usage Examples](./docs/examples.md)
  • [Troubleshooting](./docs/troubleshooting.md)
  • Fork the repository
  • Create your feature branch
  • Run tests and linting
  • Submit a pull request

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

MCP Command Server

A secure Model Context Protocol (MCP) server for executing system commands through LLM applications like Claude.

Quick Start

  1. Install the package:
uv pip install mcp-command-server
  1. Configure allowed commands:
export ALLOWED_COMMANDS="ls,pwd,echo"
  1. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "command-server": {
      "command": "uv",
      "args": ["run", "python", "-m", "mcp_command_server"],
      "env": {
        "ALLOWED_COMMANDS": "ls,pwd,echo"
      }
    }
  }
}

Features

  • 🔒 Secure command execution with whitelist
  • ✅ User confirmation for all commands
  • 📝 Comprehensive audit logging
  • 🔍 Input validation and sanitization
  • 🤖 Claude Desktop integration

Documentation

For complete documentation, see the docs/ directory:

Development

Setup

# Clone repository
git clone https://github.com/yourusername/mcp-command-server.git
cd mcp-command-server

# Create virtual environment
uv venv
source .venv/bin/activate  # On Unix/macOS
.venv\Scripts\activate     # On Windows

# Install development dependencies
uv pip install -e ".[dev]"

Testing

# Run all tests
pytest

# Run specific test file
pytest tests/unit/security/test_validator.py

# Run with coverage
pytest --cov=mcp_command_server

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Run tests and linting
  4. Submit a pull request

License

MIT License - see LICENSE for details.

View README on GitHub

COMMUNITY

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