Shell MCP Server
🖥️ Shell MCP 服务器
🚀 使用 Shell MCP 服务器为您的 AI 应用程序添加安全的 Shell 命令执行功能!专为模型上下文协议构建。
✨ 特点
🔒安全执行- 命令仅在指定目录中运行
🐚多 Shell - 支持 bash、sh、cmd、powershell
⏱️超时控制- 自动终止长时间运行的命令
🌍跨平台- 适用于 Unix 和 Windows 系统
🛡️默认安全- 内置目录和 shell 验证
Related MCP server: Terminal MCP Server
🚀 快速入门
安装
# Using pip
pip install shell-mcp-server
# Using uv (recommended)
uv pip install shell-mcp-server🔌 Claude 桌面集成
将其添加到您的 Claude Desktop 配置以启用 shell 命令执行:
{
"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"
]
}
}
}🎮 使用示例
基本文件操作
# 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"
)项目管理
# 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command="pip list --outdated",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"
)系统信息
# 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"
)文件处理
# Search file content
result = execute_command(
command="grep -r 'TODO' .",
shell="bash",
cwd="/path/to/project"
)
# File manipulation
result = execute_command(
command="awk '{print $1}' data.csv | sort | uniq -c",
shell="bash",
cwd="/path/to/data"
)Windows 特定示例
# List processes
result = execute_command(
command="Get-Process | Where-Object {$_.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"
)⚙️ 配置
使用命令行参数配置行为:
争论 | 描述 |
| 📁 允许目录列表 |
| 🐚 Shell 规范(名称和路径) |
环境变量:
COMMAND_TIMEOUT:⏱️ 最大执行时间(秒)(默认值:30)
🛡️ 安全功能
🔐目录隔离:命令只能在指定目录中执行
🔒 Shell 控制:仅允许配置的 Shell
⏰超时保护:所有命令都有可配置的超时
🛑路径验证:工作目录验证可防止遍历攻击
👤权限隔离:命令以与服务器进程相同的权限运行
🛠️ 开发
设置您的开发环境:
# 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🤝 贡献
欢迎贡献!请随意:
🐛 报告错误
💡 建议功能
🔧 提交拉取请求
📚 改进文档
📜 许可证
MIT 许可证 - 详情请参阅许可证。
🌟 使用安全 Shell 访问增强你的 AI!🌟
为模型上下文协议构建 | 由 MCP 社区倾情打造
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