iflow-mcp_blazickjp_shell-mcp-server 0.1.0
Shell MCP Server for Claude AI Application
Requires Python: >=3.11

# 🖥️ Shell MCP Server

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[![Python](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
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> 🚀 Add secure shell command execution capabilities to your AI applications with the Shell MCP Server! Built for the Model Context Protocol.

<a href="https://glama.ai/mcp/servers/@blazickjp/shell-mcp-server">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@blazickjp/shell-mcp-server/badge" alt="Shell Server MCP server" />
</a>

## ✨ 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

```bash
# 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:

<details>
<summary>📝 Click to view configuration</summary>

```json
{
    "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"
            ]
        }
    }
}
```
</details>

## 🎮 Usage Examples

### Basic File Operations
```python
# 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
```python
# 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    command="pip list --outdated",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
```python
# 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
```python
# 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
```python
# 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:

| Argument | Description |
|----------|-------------|
| `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:

```bash
# 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](LICENSE) for details.

---

<div align="center">

### 🌟 Enhance Your AI with Secure Shell Access! 🌟

Built for the [Model Context Protocol](https://github.com/anthropics/anthropic-tools) | Made with ❤️ by the MCP Community

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

</div>