shell-mcp-server
blazickjp/shell-mcp-serverUpdated 21 days ago09

Remote#shell#security#cross-platformLicense: Apache License 2.0Language: Python

🖥️ Shell MCP Server

PyPI version License: MIT Python Code style: black

🚀 Add secure shell command execution capabilities to your AI applications with the Shell MCP Server! Built for the Model Context Protocol.

✨ Features

  • 🔒 Secure Execution - Commands run only in specified directories
  • 🐚 Multiple Shells - Support for bash, sh, cmd, powershell
  • ⏱️ Timeout Control - Automatic termination of long-running commands
  • 🌍 Cross-Platform - Works on both Unix and Windows systems
  • 🛡️ Safe by Default - Built-in directory and shell validation

🚀 Quick Start

Installation

# Using pip
pip install shell-mcp-server

# Using uv (recommended)
uv pip install shell-mcp-server

🔌 Claude Desktop Integration

Add this to your Claude Desktop config to enable shell command execution:

📝 Click to view configuration
{
    "mcpServers": {
        "shell-mcp-server": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/shell-mcp-server",
                "run",
                "shell-mcp-server",
                "/path/to/allowed/dir1",
                "/path/to/allowed/dir2",
                "--shell", "bash", "/bin/bash",
                "--shell", "zsh", "/bin/zsh"
            ]
        }
    }
}

🎮 Usage Examples

Basic File Operations

# List directory contents
result = execute_command(
    command="ls -la",
    shell="bash",
    cwd="/path/to/project"
)

# Find files by pattern
result = execute_command(
    command="find . -name '*.py'",
    shell="bash",
    cwd="/path/to/project"
)

Project Management

# Git operations
result = execute_command(
    command="git status && git diff",
    shell="bash",
    cwd="/path/to/repo"
)

# Package management
result = execute_command(
    command="pip list --outdated",
    shell="bash",
    cwd="/path/to/python/project"
)

System Information

# Resource usage
result = execute_command(
    command="df -h && free -h",
    shell="bash",
    cwd="/path/to/dir"
)

# Process monitoring
result = execute_command(
    command="ps aux | grep python",
    shell="bash",
    cwd="/path/to/dir"
)

File Processing

# Search file content
result = execute_command(
    command="grep -r 'TODO' .",
    shell="bash",
    cwd="/path/to/project"
)

# File manipulation
result = execute_command(
    command="awk '{print $1}' data.csv | sort | uniq -c",
    shell="bash",
    cwd="/path/to/data"
)

Windows-Specific Examples

# List processes
result = execute_command(
    command="Get-Process | Where-Object {$_.CPU -gt 10}",
    shell="powershell",
    cwd="C:\\path\\to\\dir"
)

# System information
result = execute_command(
    command="systeminfo | findstr /B /C:'OS'",
    shell="cmd",
    cwd="C:\\path\\to\\dir"
)

⚙️ Configuration

Configure behavior with command-line arguments:

ArgumentDescription
directories📁 List of allowed directories
--shell name path🐚 Shell specifications (name and path)

Environment variables:

  • COMMAND_TIMEOUT: ⏱️ Max execution time in seconds (default: 30)

🛡️ Security Features

  • 🔐 Directory Isolation: Commands can only execute in specified directories
  • 🔒 Shell Control: Only configured shells are allowed
  • Timeout Protection: All commands have a configurable timeout
  • 🛑 Path Validation: Working directory validation prevents traversal attacks
  • 👤 Permission Isolation: Commands run with the same permissions as the server process

🛠️ Development

Set up your development environment:

# Create and activate virtual environment
uv venv
source .venv/bin/activate

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

# Run tests
python -m pytest

# Run tests with coverage
python -m pytest --cov=shell_mcp_server

🤝 Contributing

Contributions are welcome! Feel free to:

  • 🐛 Report bugs
  • 💡 Suggest features
  • 🔧 Submit pull requests
  • 📚 Improve documentation

📜 License

MIT License - see LICENSE for details.


🌟 Enhance Your AI with Secure Shell Access! 🌟

Built for the Model Context Protocol | Made with ❤️ by the MCP Community

🎉 Star us on GitHub!
If you find this tool useful, consider giving it a star! It helps others discover the project.

Installation

Claude
Claude
Cursor
Cursor
Windsurf
Windsurf
Cline
Cline
Witsy
Witsy
Spin AI
Spin AI
Run locally with the following command:
Terminal
Add the following config to your client:
JSON
{
  "mcpServers": {
    "shell-mcp-server": {
      "env": {},
      "args": [
        "--directory",
        "/path/to/shell-mcp-server",
        "run",
        "shell-mcp-server",
        "/path/to/allowed/dir1",
        "/path/to/allowed/dir2",
        "--shell",
        "bash",
        "/bin/bash",
        "--shell",
        "zsh",
        "/bin/zsh"
      ],
      "command": "uv"
    }
  }
}

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